Abstract
The paper presents a microcomputer implementation of a visual interactive method, called ‘FLIP’, for solving MOLP problems with fuzzy coefficients in the objective functions and on the both sides of the constraints. The idea of ‘FLIP’ relies on an observation that for given values of decision variables, the main question to be answered consists in the comparison of objectives and goals, and left-and right-hand-sides of the constraints which are fuzzy numbers. In result of application of a comparison principle, the fuzzy MOLP problem is transformed into a non-fuzzy multiobjective linear fractional programming (MOLFP) problem which is solved using an interactive sampling method. An evaluation of the quality of successive proposals (solutions) is based on the following characteristics: (i) scores of fuzzy objectives in relation to the goals, (ii) dispersion of values of the fuzzy objectives due to uncertainty, (iii) safety of solutions or risk of violation of the constraints. The graphics displayed by ‘FLIP’ provide the most comprehensive synthesis of these characteristics. The aim of this paper is to demonstrate that the kind of visual interaction organized by ‘FLIP’ is the most appropriate for solving MOLP problems under uncertainty and imprecision. In order to support this conclusion, a land-use planning problem is solved using the ‘FLIP’ software on a micro.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Czyżak, P.(1989) ‘Multicriteria agricultural problem solving under uncertainty’, Foundations of Control Engineering Vol.14, No. 2., 61–80.
Czyżak, P.(1990) ‘Application of the FLIP method to farm structure optimization problems’, in R. Slowinski, J. Teghem (eds.), Stochastic vs. Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty, Kluwer Academic Publishers, Dodrecht, 263–278.
Czyżak, P. Słowiński, R.(1989) ‘Multiobjective diet optimization problem under fuzziness’, in J.L. Verdegay, M. Delgado (eds.), The Interface between Artificial Intelligence and Operations Research in Fuzzy Environment, Verlag TUV Rheinland, Köln, 85–103.
Czyżak, P. Słowiński, R.(1990) ‘Solving Multiobjective Diet Optimization Problem under Uncertainty’, Proc. of the IIASA International Conference on Multiple Criteria Decision Making, Helsinki, August 1989, Springer Verlag, Berlin (in press).
Słowiński, R. (1986) ‘A multicriteria fuzzy linear programming method for water supply system development planning’, Fuzzy Sets and Systems 19, 217–237.
Słowiński, R. (1987) ‘An interactive method for multiobjective linear programming with fuzzy parameters and its application to water supply planning’, in J. Kacprzyk, S.A. Orlovski (eds.), Optimization Models using Fuzzy Sets and Possibility Theory, D. Reidel, Dordrecht, pp. 396–414.
Słowiński, R. (1990) ‘“FLIP”: An interactive method for multiobjective linear programming with fuzzy coefficients’, in R. Slowinski, J. Teghem (eds.), Stochastic vs. Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty, Kluwer Academic Publishers, Dordrecht, 249–262.
Słowiński, R., Teghem, J. (1988) ‘Fuzzy Versus Stochastic Approaches to Multicriteria Linear Programming under Uncertainty’, Naval Research Logistics, Vol. 35, 673–695.
Słowiński, R., Teghem, J., eds. (1990), Stochastic vs. Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty, Theory and Decision Library, ser.D, Kluwer Academic Publishers, Dordrecht.
Słowiński, R., Urbaniak, A., Weglarz, J. (1987) ‘Probabilistic and fuzzy approaches to capacity expansion planning of a water supply system’, in L. Valadares Tavares, J. Evaristo da Silva (eds.), Systems Analysis Applied to Water and Related Land Resources, Pergamon Press, Oxford, pp. 93–98.
Werczberger, E.(1984) ‘Planning in an uncertain environment: stochastic goal programming using the versatility criterion’, Socio.-Econ. Plan. Sci. Vol. 18, No. 6, pp. 391–398.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Czyżak, P., Słowiński, R. (1991). ‘FLIP’: Multiobjective Fuzzy Linear Programming Software with Graphical Facilities. In: Fedrizzi, M., Kacprzyk, J., Roubens, M. (eds) Interactive Fuzzy Optimization. Lecture Notes in Economics and Mathematical Systems, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45700-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-45700-5_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-54577-4
Online ISBN: 978-3-642-45700-5
eBook Packages: Springer Book Archive