Abstract
Linear programming is the part of operational research, which is most widely used in practical applications. There are many classical algorithms in this domain (the most important one is the well known simplex method) and many new ones, together with corresponding software, are being developed for specific applications, which often solve problems of enormous dimensions.
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References
G. Bortolan, R. Degani, A review of some methods for ranking fuzzy subsets, Fuzzy Sets and Systems 15 (1985) 1–19.
Chen, S.J., Hwang, C.L., Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer Verlag, Berlin, Heidelberg, 1992
D. Dubois, H. Prade, Operations on fuzzy numbers, Int. J. Systems Sci. 30 (1978) 613–626.
D. Dubois, H. Prade, Fuzzy sets in approximate reasoning, Part 1: inference with possibility distributions, Fuzzy Sets and Systems 40 (1991) 143–202.
M. Locke, Fuzzy modelling in expert for process control, Syst. Anal. Model. Simul 7 (1990) 715–719.
S. Tong, Interval number and fuzzy number linear programmings, Fuzzy Sets and Systems 66 (1994) 301–306.
I. B. Turksen, Approximate reasoning for production planning, Fuzzy Sets and Systems 4 (1988) 23–27.
I. B. Turksen, Measurement of membership function and their acquisition, Fuzzy Sets and Systems 4 (1991) 5–38.
S.R. Watson, J.J. Weiss and M.L. Donnell Fuzzy decision analysis, IEEE Trans. on Syst., Man and Cyber. SMC-9(1) (1979) 1–9.
F. Wenstop, Quantitative analysis with linguistic values, Fuzzy Sets and Systems 4 (1980) 99–115.
M.R. Wilhelm and H.R. Parsaei, A fuzzy linguistic approach to implementing a strategy for computer integrated manufacturing, Fuzzy Sets and Systems 42 (1991) 191–204.
L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning I,II,III, Inform. Sci. 8 (1975) 199–249; 301–357; 9 43–80.
L. A. Zadeh, Fuzzy sets as a basis for theory of possibility, Fuzzy Sets and Systems 1 (1978) 3–29.
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© 1999 Springer-Verlag Berlin Heidelberg
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Chanas, S., Kuchta, D. (1999). Linear Programming with Words. In: Zadeh, L.A., Kacprzyk, J. (eds) Computing with Words in Information/Intelligent Systems 2. Studies in Fuzziness and Soft Computing, vol 34. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1872-7_12
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DOI: https://doi.org/10.1007/978-3-7908-1872-7_12
Publisher Name: Physica, Heidelberg
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