Fuzzy Multiple Objective Programming Based on Interval-Valued Fuzzy Sets

In this paper, we use the interval-valued fuzzy sets to derive linear programming in the fuzzy sense from crisp multiple objective programming. For many practical problems, if we just used the general fuzzy sets, it may not be quite well to describe the real situation. That is the reason why we use...

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Vydáno v:2008 Eighth International Conference on Intelligent Systems Design and Applications Ročník 1; s. 397 - 402
Hlavní autoři: Teng-San Shih, Huey-Ming Lee, Jin-Shieh Su
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.11.2008
Témata:
Functional programming
Fuzzy Multiple Objective programming
Fuzzy sets
Fuzzy systems
Information management
Intelligent systems
Interval-valued fuzzy set
Linear programming
Mathematical programming
Mathematics
Optimization methods
Sociotechnical systems
ISBN:9780769533827, 0769533825
ISSN:2164-7143
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Shrnutí:In this paper, we use the interval-valued fuzzy sets to derive linear programming in the fuzzy sense from crisp multiple objective programming. For many practical problems, if we just used the general fuzzy sets, it may not be quite well to describe the real situation. That is the reason why we use the interval-valued fuzzy sets and the method in Zimmerman to fuzzify the crisp linear programming.
ISBN:9780769533827
0769533825
ISSN:2164-7143
DOI:10.1109/ISDA.2008.88