Abstract
Fuzzy set theory was first developed for solving the imprecise/vague problems in the field of artificial intelligence, especially for imprecise reasoning and modelling linguistic terms. In solving decision making problems, the pioneer work came from Bellman and Zadeh [12], Tanaka, Okuda and Asai [236][237], Negoita et al. [176][178][179], Zimmermann [296][298], Orlovsky [192], Yager [266] and Freeling [92].
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© 1992 Springer-Verlag Berlin Heidelberg
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Lai, YJ., Hwang, CL. (1992). Fuzzy Mathematical Programming. In: Fuzzy Mathematical Programming. Lecture Notes in Economics and Mathematical Systems, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48753-8_3
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DOI: https://doi.org/10.1007/978-3-642-48753-8_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-56098-2
Online ISBN: 978-3-642-48753-8
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