Abstract
A rational approach toward decision-making should take into account human subjectivity, rather than employing only objective probability measures. This attitude towards the uncertainty of human behavior led to the study of a relatively new decision analysis field: Fuzzy decision-making. Fuzzy systems are suitable for uncertain or approximate reasoning, especially for the system with a mathematical model that is difficult to derive. Fuzzy logic allows decision-making with estimated values under incomplete or uncertain information. A major contribution of fuzzy set theory is its capability of representing vague data. Fuzzy set theory has been used to model systems that are hard to define precisely. As a methodology, fuzzy set theory incorporates imprecision and subjectivity into the model formulation and solution process. Fuzzy set theory represents an attractive tool to aid research in industrial engineering (IE) when the dynamics of the decision environment limit the specification of model objectives, constraints and the precise measurement of model parameters. This chapter provides a survey of the applications of fuzzy set theory in IE.
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References
Adenso-Díaz, B., González, I., Tuya, J. (2004): Incorporating fuzzy approaches for production planning in complex industrial environments: the roll shop case. Engineering Applications of Artificial Intelligence, Vol. 17, No. 1, 73–81
Aliev, R.A., Fazlollahi, B., Aliev, R.R. (2004): Soft Computing and its Applications in Business and Economics, Vol. 157, Springer-Verlag
Araz, C., Selim H., Ozkarahan, I. (2005): A fuzzy multi-objective covering-based vehicle location model for emergency services. Computers & Operations Research, In Press
Barelli, L., Bidini, G. (2005): Design of the measurements validation procedure and the expert system architecture for a cogeneration internal combustion engine. Applied Thermal Engineering, Vol. 25, No. 17–18, 2698–2714
Bector, C.R., Chandra, S., (2005): Fuzzy Mathematical Programming and Fuzzy Matrix Games, Vol. 169, Springer-Verlag
Bell, P.M., Crumpton, L. (1997): A fuzzy linguistic model for the prediction of carpal tunnel syndrome risks in an occupational environment. Ergonomics, Vol. 40, No. 8, 790–799
Ben-Arieh, D., Kumar R.R., Tiwari, M. K. (2004): Analysis of assembly operations’ difficulty using enhanced expert high-level colored fuzzy Petri net model. Robotics and Computer-Integrated Manufacturing, Vol. 20, No. 5, 385–403
Bhattacharya, U., Rao, J.R., Tiwari, R.N. (1992): Fuzzy multi-criteria facility location problem. Fuzzy Sets and Systems, Vol. 51, No. 3, 277–287
Bhattacharya, U., Rao, J.R., Tiwari, R.N. (1993): Bi-criteria multi facility location problem in fuzzy environment, Fuzzy Sets and Systems, Vol. 56, No. 2, 145–153
Bradshaw, C.W. (1983): A fuzzy set theoretic interpretation of economic control limits. European Journal of Operational Research, Vol. 13, No. 4, 403–408
Buckley, J. J. (1989): Fuzzy PERT, in Applications of Fuzzy Set Methodologies in Industrial Engineering, Evans, G.W., Karwowski, W., Wilhelm, M.R. (eds.), Elsevier Science Publishers B. V., Amsterdam, 103–114
Buckley, J.J., Eslami, E., Feuring, T. (2002): Fuzzy Mathematics in Economics and Engineering, Vol. 91, Springer-Verlag
Carlsson, C., Fuller, R., (2002): Fuzzy Reasoning in Decision Making and Optimization, Vol. 82, Springer-Verlag
Castillo, O., Melin, P., (2003) Soft Computing and Fractal Theory for Intelligent Manufacturing, Vol. 117, Springer-Verlag
Chakraborty, M., Chandra, M.K. (2005): Multicriteria decision making for optimal blending for beneficiation of coal: A fuzzy programming approach, Omega, Vol. 33, No. 5, 413–418
Chakraborty, T.K. (1988): A single sampling attribute plan of given strength based on fuzzy goal programming. Opsearch, Vol. 25, No. 4, 259–271
Chakraborty, T.K. (1992): A class of single sampling plans based on fuzzy optimization. Opsearch, Vol. 29, No. 1, 11–20
Chakraborty, T.K. (1994a): Possibilistic parameter single sampling inspection plans. Opsearch, Vol. 31, No. 2, 108–126
Chakraborty, T.K. (1994b): A class of single sampling inspection plans based on possibilistic programming problem. Fuzzy Sets and Systems, Vol. 63, No.1, 35–43
Chanas, S., Kamburowski, J. (1981): The use of fuzzy variables in PERT. Fuzzy Sets and Systems, Vol. 5, No.1, 11–19
Chanas, S., Kasperski, A. (2004): Possible and necessary optimality of solutions in the single machine scheduling problem with fuzzy parameters. Fuzzy Sets and Systems, Vol. 142, No. 3, Pages 359–371
Chang P.-C., Wang, Y.-W. (2005): Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry, Expert Systems with Applications, In Press
Chang, P.C., Liao, T.W. (2005): Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory, Applied Soft Computing, In Press
Chang, P.-T. (1997): Fuzzy seasonality forecasting. Fuzzy Sets and Systems, Vol. 90, No. 1, Pages 1–10
Chang, P.-T. (2005): Fuzzy strategic replacement analysis. European Journal of Operational Research, Vol. 160, No. 2, 532–559
Chang, P.-T., Hung, K.-C. (2005): Applying the fuzzy-weighted-average approach to evaluate network security systems. Computers & Mathematics with Applications, Vol. 49, No. 11–12, 1797–1814
Chang, P.-T., Yao, M.-J., Huang, S.-F., Chen, C.-T. (2005): A genetic algorithm for solving a fuzzy economic lot-size scheduling problem. International Journal of Production Economics, In Press
Chang, S., Tsujimura, Y., Gen, M., Tozawa, T. (1995): An efficient approach for large scale project planning based on fuzzy Delphi method. Fuzzy Sets and Systems, Vol. 76, No. 2, 277–288
Chen, S.-M. (1996): Forecasting enrollments based on fuzzy time series. Fuzzy Sets and Systems, Vol. 81, No. 3, 311–319
Chen, S., Hwang, C., (1992): Fuzzy Multiple Attribute Decision Making: Methods and Applications, Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Germany
Chen, T., Wang, M.-J.J. (1999): Forecasting methods using fuzzy concepts. Fuzzy Sets and Systems, Vol. 105, No. 3, 339–352
Chen, Y.-J., Huang, T.-C., Hwang, R.-C. (2004): An effective learning of neural network by using RFBP learning algorithm, Information Sciences, Vol. 167, No. 1–4, 77–86
Chen, Y.-M., Wang, S.-C. (2005): Framework of agent-based intelligence system with two-stage decision-making process for distributed dynamic scheduling. Applied Soft Computing, In Press
Chen, Y.-W., Larbani, M. (2006): Two-person zero-sum game approach for fuzzy multiple attribute decision making problems. Fuzzy Sets and Systems, Vol. 157, No. 1, 34–51
Chen, Z.C., Dong, Z., Vickers, G.W. (2003): Automated surface subdivision and tool path generation for -axis CNC machining of sculptured parts. Computers in Industry, Vol. 50, No. 3, 319–331
Cheng, C.-B. (2005): Fuzzy process control: construction of control charts with fuzzy numbers. Fuzzy Sets and Systems, Vol. 154, No. 2, 287–303
Chien C.-J., Tsai, H.-H. (2000): Using fuzzy numbers to evaluate perceived service quality. Fuzzy Sets and Systems, Vol. 116, No. 2, 289–300
Cho, C., Kim, S., Lee, J., Lee, D.W. (2006): A tandem clustering process for multimodal datasets. European Journal of Operational Research, Vol. 168, No. 3, 998–1008
Chu, T.-C. (2002): Facility location selection using fuzzy TOPSIS under group decisions. International Journal of Uncertainty, Fuzziness and Knowledge- Based Systems, Vol. 10, No. 6, 687–702
Chung, K., Tcha, D. (1992): A fuzzy set-theoretic method for public facility location. European Journal of Operational Research, Vol. 58, No. 1, 90–98
Cochran J.K., Chen, H.-N. (2005): Fuzzy multi-criteria selection of objectoriented simulation software for production system analysis. Computers & Operations Research, Vol. 32, No. 1, 153–168
Cummins, J.D., Derrig, R.A. (1993): Fuzzy trends in property-liability insurance claim costs. Journal of Risk and Insurance, Vol. 60, No. 3, 429–465
Darzentas, J. (1987): A discrete location model with fuzzy accessibility measures. Fuzzy Sets and Systems, Vol. 23, No.1, 149–154
Deba, S.K., Bhattacharyyab, B. (2005): Fuzzy decision support system for manufacturing facilities layout planning. Decision Support Systems, Vol. 40, 305–314
Demirli K., and Türksen, I.B. (2000): Sonar based mobile robot localization by using fuzzy triangulation. Robotics and Autonomous Systems, Vol. 33, No. 2–3, 109–123
DePorter, E.L., Ellis, K.P. (1990): Optimization of project networks with goal programming and fuzzy linear programming. Computers and Industrial Engineering, Vol. 19, No.1–4, 500–504
Dompere, K.K. (2004): Cost-Benefit Analysis and the Theory of Fuzzy Decisions, Vol. 160, Springer-Verlag
Dubois, D., Prade, H. (1985): Possibility Theory: An Approach to Computerized Processing of Uncertainty, Plenum Press: New York
Dweiri, F. (1999): Fuzzy development of crisp activity relationship charts for facilities layout Computers & Industrial Engineering, Vol. 36, 1–16
Dweiri, F., Meier, F.A. (1996): Application of fuzzy decision-making in facilities layout planning. International Journal of Production Research, Vol. 34, No.11, 3207–3225
Economakos, E. (1979): Application of fuzzy concepts to power demand forecasting. IEEE Transactions on Systems, Man and Cybernetics, Vol. 9, No.10, 651–657
Ertay, T., Ruan, D., Rífat Tuzkaya, U.R. (2006): Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences, Vol. 176, No. 3, 237–262
Evans, G.W., Karwowski, W., Wilhelm, M.R. (1989): Applications of Fuzzy Set Methodologies in Industrial Engineering, Elsevier
Evans, G.W., Wilhelm, M.R., Karwowski, W. (1987): A layout design heuristic employing the theory of fuzzy sets. International Journal of Production Research, Vol. 25, No.10, 1431–1450
Fang, S.-C., Nuttle, H.W.L., Wang, D. (2004): Fuzzy formulation of auctions and optimal sequencing for multiple auctions. Fuzzy Sets and Systems, Vol. 142, No. 3, 421–441
Fodor, J., De Baets, B., Perny, P. (Eds) (2000): Preferences and Decisions under Incomplete Knowledge Vol. 51, Springer-Verlag
Fonseca D.J., Knapp, G.M. (2001): A fuzzy scheme for failure mode screening. Fuzzy Sets and Systems, Vol. 121, No. 3, 453–457
Gaines, B.R., Kohout, L.J. (1977): The fuzzy decade: a bibliography of fuzzy systems and closely related topics. International Journal of Man-Machine Studies, Vol. 9, No.1, 1–68
Gen, M., Syarif, A. (2005): Hybrid genetic algorithm for multi-time period production/ distribution planning. Computers & Industrial Engineering, Vol. 48, 799–809
Gen, M., Tsujimura, Y., Ida, K. (1992): Method for solving multiobjective aggregate production planning problem with fuzzy parameters. Computers and Industrial Engineering, Vol. 23, No. 1–4, 117–120
Gholamian, M.R., Ghomi, S.M.T.F. (2005): Meta knowledge of intelligent manufacturing: An overview of state-of-the-art, Applied Soft Computing, In Press
Gholamian, M.R., Ghomi, S.M.T.F., Ghazanfari, M. (2005): A hybrid systematic design for multiobjective market problems: a case study in crude oil markets. Engineering Applications of Artificial Intelligence, Vol. 18, No. 4, 495–509
Glushkovsky, E.A., Florescu, R.A. (1996): Fuzzy sets approach to quality improvement. Quality and Reliability Engineering International, Vol. 12, No. 1, 27–37
Grobelny, J. (1987a): On one possible ‘fuzzy’ approach to facilities layout problems. International Journal of Production Research, Vol. 25, No. 8, 1123–1141
Grobelny, J. (1987b): The fuzzy approach to facilities layout problems. Fuzzy Sets and Systems, Vol. 23, No. 2, 175–190
Guiffrida, A.L., Nagi, R. (1998): Fuzzy set theory applications in production management research: A literature survey. Journal of Intelligent Manufacturing, Vol. 9, 39–56
Gülbay, M., Kahraman, C., Ruan Da (2004): α-Cut fuzzy control charts for linguistic data. International Journal of Intelligent Systems, Vol. 19, 1173–1195
Gutierrez, I., Carmona, S. (1995): Ambiguity in multicriteria quality decisions, International Journal of Production Economics, Vol. 38 No.2/3, 215–224
Hapke, M., Jaszkiewicz, A., Slowinski, R. (1994): Fuzzy project scheduling system for software development. Fuzzy Sets and Systems, Vol. 67, No. 1, 101–117
Hapke, M., Slowinski, R., (1996): Fuzzy priority heuristics for project scheduling, Fuzzy Sets and Systems, Vol. 83, No. 3, 291–299
Heshmaty, B., Kandel, A. (1985): Fuzzy linear regression and its applications to forecasting in uncertain environment. Fuzzy Sets and Systems, Vol. 15, 159–191
Hop, N.V. (2006): A heuristic solution for fuzzy mixed-model line balancing problem, European Journal of Operational Research, Vol. 168, No. 3, 798–810
Inuiguchi, M., Sakawa, M., Kume, Y. (1994): The usefulness of possibilistic programming in production planning problems. International Journal of Production Economics, Vol. 33, No.1–3, 45–52
Ishikawa, A., Amagasa, M., Tomizawa, G., Tatsuta, R., Mieno, H. (1993): The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems, Vol. 55, No.3, 241–253
Kahraman, C., Beskese A., Ruan, D. (2004): Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis. Information Sciences, Vol. 168, No. 1–4, 77–94
Kahraman, C., Ruan D., Tolga, E. (2002): Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences, Vol. 142, No. 1–4, 57–76
Kahraman, C., Ruan, D., Dogan, I. (2003): Fuzzy group decision-making for facility location selection, Information Sciences, Vol. 157, 135–153
Kahraman, C., Tolga E., Ulukan, Z. (2000): Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis. International Journal of Production Economics, Vol. 66, No. 1, 45–52
Kanagawa, A., Ohta, H. (1990): A design for single sampling attribute plan based on fuzzy sets theory. Fuzzy Sets and Systems, Vol. 37, No. 2, 173–181
Kanagawa, A., Tamaki, F., Ohta, H. (1993): Control charts for process average and variability based on linguistic data. International Journal of Production Research, Vol. 31, No. 4, 913–922
Kandel, A. (1986): Fuzzy Mathematical Techniques with Applications, Addison- Wesley: Reading, MA
Kandel, A., Yager, R. (1979): A 1979 bibliography on fuzzy sets, their applications, and related topics, in Advances in Fuzzy Set Theory and Applications, Gupta, M.M., Ragade, R. K. and Yager, R. R. (eds.), North-Holland: Amsterdam, 621–744
Karwowski, W., Evans, G. W. (1986): Fuzzy concepts in production management research: A review. International Journal of Production Research, Vol. 24, No. 1, 129–147
Kasperski, A. (2005): A possibilistic approach to sequencing problems with fuzzy parameters. Fuzzy Sets and Systems, Vol. 150, No. 1, 77–86
Kaufmann, A., Gupta, M.M. (1988): Fuzzy Mathematical Models in Engineering and Management Science, North-Holland: Amsterdam
Kaya, M.D., Hasiloglu, A.S., Bayramoglu, M., Yesilyurt, H., Ozok, A.F. (2003): A new approach to estimate anthropometric measurements by adaptive neurofuzzy inference system. International Journal of Industrial Ergonomics, Vol. 32, No. 2, 105–114
Khoo, L.P., Ho, N.C. (1996): Framework of a fuzzy quality deployment system. International Journal of Production Research, Vol. 34, No. 2, 299–311
Kim, K.-J., Moskowitz, H., Dhingra, A., Evans, G. (2000): Fuzzy multicriteria models for quality function deployment. European Journal of Operational Research, Vol. 121, No. 3, 504–518
Kim, K.W., Gen, M., Yamazaki, G. (2003): Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling. Applied Soft Computing, Vol. 2, No. 3, 174–188
Klir, G.J., Yuan, B., (1995): Fuzzy Sets and Fuzzy Logic: Theory and Applications, Englewood CliOEs: Prentice-Hall
Kuchta, D. (2000): Fuzzy capital budgeting. Fuzzy Sets and Systems, Vol. 111, No. 3, 367–385
Kulak, O., Durmusoglu, M.D., Kahraman, C. (2005): Fuzzy multi-attribute equipment selection based on information axiom. Journal of Materials Processing Technology, Vol. 169, No. 3, 337–345
Kuo, R.J. (2001): A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm. European Journal of Operational Research, Vol. 129, No. 3, 496–517
Kuo, R.J., Kuo, Y.P., Chen, K.-Y. (2005): Developing a diagnostic system through integration of fuzzy case-based reasoning and fuzzy ant colony system, Expert Systems with Applications, Vol. 28, No. 4, 783–797
Kuo, R.J., Wu, P., Wang, C.P. (2002): An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination. Neural Networks: The Official Journal Of The International Neural Network Society, Vol. 15, No. 7, 909–925
Lai, Y.-J., Hwang, C.-L. (1994): Fuzzy Multiple Objective Decision Making Methods and Applications, Springer-Verlag: Berlin
Lee, H.T., Chen, S.H. (2001); Fuzzy regression model with fuzzy input and output data for manpower forecasting. Fuzzy Sets and Systems, Vol. 119, No. 2, 205–213
Lee, Y.Y., Kramer, B.A., Hwang, C.L. (1991): A comparative study of three lotsizing methods for the case of fuzzy demand. International Journal of Operations and Production Management, Vol. 11, No. 7, 72–80
Leiviskä, K. (Ed.) (2001): Industrial Applications of Soft Computing: Paper, Mineral and Metal Processing Industries, Vol. 71, Springer-Verlag
Li, D.-C., Wu, C.-S., Tsai T.-I., Chang, F.M. (2006): Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge. Computers & Operations Research, Vol. 33, No. 6, 1857–1869
Lootsma, F.A. (1989): Stochastic and Fuzzy PERT. European Journal of Operational Research, Vol. 43, No. 2, 174–183
Lorterapong, P. (1994): A fuzzy heuristic method for resource-constrained project scheduling. Project Management Journal, Vol. 25, No. 4, 12–18
Maiers, J., Sherif, Y.S. (1985): Applications of fuzzy set theory. IEEE Transactions on Systems, Man and Cybernetics, Vol. 15, No. 1, 175–189
Maimon, O., Kandel, A., Last, M. (2001): Information-theoretic fuzzy approach to data reliability and data mining. Fuzzy Sets and Systems, Vol. 117, No. 2, 183–194
McCahon, C.S., (1993): Using PERT as an approximation of fuzzy projectnetwork analysis. IEEE Transactions on Engineering Management, Vol. 40, No. 2, 146–153
McCahon, C.S., Lee, E.S. (1988): Project network analysis with fuzzy activity times. Computers and Mathematics with Applications, Vol. 15, No. 10, 829–838
Mital A., Karwowski, W. (1986): Towards the development of human workperformance standards in futuristic man-machine systems: A fuzzy modeling approach. Fuzzy Sets and Systems, Vol. 19, No. 2, 133–147
Mital, A., Karwowski, W. (1989): A framework of the fuzzy linguistic approach to facilities location problem, in Applications of Fuzzy Set Methodologies in Industrial Engineering, Evans, G.W., Karwowski, W. and Wilhelm, M. R. (eds.) , Elsevier Science Publishers B.V., Amsterdam, 323–330
Mital, A., Kromodihardjo, S., Metha, M., Karwowski, W. (1988): Facilities location: quantifying subjective criteria using fuzzy linguistic approach, in Recent Developments in Production Research, Mital, A. (ed.) , Elsevier Science Publishers B. V., Amsterdam, 307–314
Modarres, M., Nasrabadi, E., Nasrabadi, M.M. (2005): Fuzzy linear regression models with least square errors. Applied Mathematics and Computation, Vol. 163, No. 2, 977–989
Murray, T. J., Pipino, L.L., vanGigch, J.P. (1985): A pilot study of fuzzy set modification of Delphi, Human Systems Management, Vol. 5, No. 1, 76–80
Narasimhan, R. (1979): A fuzzy subset characterization of a site-selection problem. Decision Sciences, Vol. 10, No. 4, 618–628
Nasution, S.H. (1994): Fuzzy critical path. IEEE Transactions on Systems, Man and Cybernetics, Vol. 24, No. 1, 48–57
Niskanen, V.A., (2004): Soft Computing Methods in Human Sciences, Vol. 134, Springer-Verlag
Ohta, H., Ichihashi, H. (1988): Determination of single- sampling-attribute plans based on membership functions. International Journal of Production Research, Vol. 26, No. 9, 1477–1485
Olson D.L., Wu, D. (2005): Simulation of fuzzy multiattribute models for grey relationships. European Journal of Operational Research, In Press
Onwubolu, G.C., Babu, B.V., (2004): New Optimization Techniques in Engineering, Vol. 141, Springer-Verlag
Pai, P.-F. (2003): Capacitated Lot size problems with fuzzy capacity. Mathematical and Computer Modelling, Vol. 38, No. 5–6, 661–669
Palmero, S.G.I., Santamaria, J.J., de la Torre E.J.M., González, J.R.P. (2005): Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system. Engineering Applications of Artificial Intelligence, Vol. 18, No. 7, 867–874
Park, J., Han, S.H. (2004): A fuzzy rule-based approach to modeling affective user satisfaction towards office chair design. International Journal of Industrial Ergonomics, Vol. 34, No. 1, 31–47
Prade, H. (1979): Using fuzzy set theory in a scheduling problem: A case study. Fuzzy Sets and Systems, Vol. 2, No. 2, 153–165
Raoot, A., Rakshit, A. (1991): A ‘fuzzy’ approach to facilities lay-out planning. International Journal of Production Research, Vol. 29, No.4, 835–857
Raoot, A., Rakshit, A. (1993):A ‘linguistic pattern’ approach for multiple criteria facility layout problems. International Journal of Production Research, Vol. 31, No.1, 203–222
Raoot, A., Rakshit, A. (1994): A ‘fuzzy’ heuristic for the quadratic assignment formulation to the facility layout problem. International Journal of Production Research, Vol. 32, No. 3, 563–581
Raz, T., Wang, J. (1990): Probabilistic and membership approaches in the construction of control charts for linguistic data. Production Planning and Control, Vol. 1, No. 3, 147–157
Rinks, D.B. (1981): A heuristic approach to aggregate production scheduling using linguistic variables, in Applied Systems and Cybernetics - Vol. VI, Lasker, G. E. (ed.) , Pergamon Press: New York, 2877–2883
Rinks, D.B. (1982a): The performance of fuzzy algorithm models for aggregate planning under differing cost structures, in Fuzzy Information and Decision Processes, Gupta, M.M. and Sanchez, E. (eds.) , North-Holland Publishing: Amsterdam, 267–278
Rinks, D.B. (1982b) A heuristic approach to aggregate planning production scheduling using linguistic variables: Methodology and application, in Fuzzy Set and Possibility Theory, Yager, R. R. (ed.) , Pergamon Press: New York, 562–581
Samanta B., Al-Araimi, S.A., (2001): An inventory control model using fuzzy logic. International Journal of Production Economics, Vol. 73, No. 3, 217–226
Shipley, M.F., De Korvin, A., Omer, K. (1996): A fuzzy logic approach for determining expected values: A project management application, Journal of the Operational Research Society, Vol. 47, No. 4, 562–569
Singh, N., Mohanty, B.K. (1991): A fuzzy approach to multi-objective routing problem with applications to process planning in manufacturing systems. International Journal of Production Research, Vol. 29, No. 6, 1161–1170
Song, Q., Chissom, B.S. (1993a): Fuzzy time series and its models. Fuzzy Sets and Systems, Vol. 54, No. 3, 269–277
Song, Q., Chissom, B.S. (1993b): Forecasting enrollments with fuzzy time series - part I. Fuzzy Sets and Systems, Vol. 54, No. 1, 1–9
Song, Q., Chissom, B.S. (1994): Forecasting enrollments with fuzzy time series - part II. Fuzzy Sets and Systems, Vol. 62, No. 1, 1–8
Song, Q., Leland, R.P., Chissom, B.S. (1995): A new fuzzy time-series model of fuzzy number observations. Fuzzy Sets and Systems, Vol. 73, No. 3, 341–348
Srithongchai, S., Intaranont, K. (1996): A study of impact of shift work on fatigue level of workers in a sanitary-ware factory using a fuzzy set model. Journal of Human Ergology, Vol. 25, No. 1, 93–99
Sullivan, J., Woodall, W.H. (1994): A comparison of fuzzy forecasting and Markov modeling. Fuzzy Sets and Systems, Vol. 64, No. 3, 279–293
Tanaka, H., Ichihashi, H., Asai, K. (1986): A value of information in FLP problems via sensitivity analysis. Fuzzy Sets and Systems, Vol. 18, No. 2, 119–129
Tanaka, H., Uejima, S., Asai, K. (1982): Linear regression analysis with fuzzy model. IEEE Transactions on Systems, Man and Cybernetics, Vol. 12, No. 6, 903–907
Tang, J., Wang, D., Fung, R.Y.K. (2000): Fuzzy formulation for multi-product aggregate production planning, Production Planning & Control, Vol. 11, No. 7, 670–676
Tolga, E., Demircan M.L., Kahraman, C. (2005): Operating system selection using fuzzy replacement analysis and analytic hierarchy process. International Journal of Production Economics, Vol. 97, No. 1, 89–117
Tsai, H.-H., Lu, I.-Y. (2006): The evaluation of service quality using generalized Choquet integral. Information Sciences, Vol. 176, No. 6, 640–663
Tsaur, R.-C., Yang J.-C. O, Wang, H.F. (2005): Fuzzy relation analysis in fuzzy time series model, Computers & Mathematics with Applications, Vol. 49, No. 4, 539–548
Turksen, I.B. (1988a): Approximate reasoning for production planning. Fuzzy Sets and Systems, Vol. 26, No. 1, 23–37
Turksen, I.B. (1988b): An approximate reasoning framework for aggregate production planning, in Computer Integrated Manufacturing, Turksen, I. B. (ed.) , NATO ASI Series, Vol. 49, Springer-Verlag: Berlin, 243–266
Verdegay, J.-L. (2003): Fuzzy Sets Based Heuristics for Optimization, Vol. 126, Springer-Verlag
Wang, H.-F., Kuo, C.-Y. (2004): Factor analysis in data mining. Computers & Mathematics with Applications, Vol. 48, No. 10–11, 1765–1778
Wang, J. (2002): A fuzzy project scheduling approach to minimize schedule risk for product development. Fuzzy Sets and Systems, Vol. 127, 99–116
Wang, J., Dai, C.-H. (2004): A fuzzy constraint satisfaction approach for electronic shopping assistance. Expert Systems with Applications, Vol. 27, No. 4, 593–607
Wang, J.-H., Raz, T. (1990): On the construction of control charts using linguistic variables, International Journal of Production Research, Vol. 28, No. 3, 477–487
Wang, R.-C., Chen, C.-H. (1995): Economic statistical np-control chart designs based on fuzzy optimization. International Journal of Quality and Reliability Management, Vol. 12, No.1, 82–92
Wang, R.-C., Liang, T.-F. (2004): Application of fuzzy multi-objective linear programming to aggregate production planning. Computers & Industrial Engineering, Vol. 46, 17–41
Wang, R-C., Fang, H.-H. (2001): Aggregate production planning with multiple objectives in a fuzzy environment. European Journal of Operational Research, Vol. 133, 521–536
Wang, Z., Leung, K.-S., Klir, G.J. (2005): Applying fuzzy measures and nonlinear integrals in data mining. Fuzzy Sets and Systems, Vol. 156, No. 3, 371–380
Ward, T.L., Ralston, P.A.S., Davis, J.A. (1992): Fuzzy logic control of aggregate production planning. Computers and Industrial Engineering, Vol. 23, No.1–4, 137–140
Yen, J., Langari, R., Zadeh, L.A. (1995): Industrial Applications of Fuzzy Logic and Intelligent Systems, IEEE Press, New York
Yongting, C. (1996): Fuzzy quality and analysis on fuzzy probability. Fuzzy Sets and Systems, 83(2), 283–290
Yoshida, Y. (Ed.), (2001): Dynamical Aspects in Fuzzy Decision Making, Vol. 73, Springer-Verlag
Yu, X., Kacprzyk, J. (Eds.) (2003): Applied Decision Support with Soft Computing, Vol. 124, Springer-Verlag
Zadeh, L.A. (1965): Fuzzy Sets, Information and Control, Vol. 8, 338–353
Zhang, H.-C., Huang, S.H. (1994): A fuzzy approach to process plan selection. International Journal of Production Research, Vol. 32, No. 6, 1265–1279
Zimmerman, H.-J. (1983): Using fuzzy sets in operational research. European Journal of Operational Research, Vol. 13, No. 3, 201–216
Zimmermann, H.-J. (1996): Fuzzy Set Theory and Its Applications, Kluwer, Massachusetts
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Kahraman, C., Gülbay, M., Kabak, Ö. (2006). Applications of Fuzzy Sets in Industrial Engineering: A Topical Classification. In: Kahraman, C. (eds) Fuzzy Applications in Industrial Engineering. Studies in Fuzziness and Soft Computing, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33517-X_1
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DOI: https://doi.org/10.1007/3-540-33517-X_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33516-0
Online ISBN: 978-3-540-33517-7
eBook Packages: EngineeringEngineering (R0)