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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Veröffentlicht in:2008 Eighth International Conference on Intelligent Systems Design and Applications Jg. 1; S. 397 - 402
Hauptverfasser: Teng-San Shih, Huey-Ming Lee, Jin-Shieh Su
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.11.2008
Schlagworte:
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
Online-Zugang:Volltext
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Zusammenfassung: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