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2005 | Buch

Fuzzy Mathematical Programming and Fuzzy Matrix Games

verfasst von: Dr. C. R. Bector, Dr. Suresh Chandra

Verlag: Springer Berlin Heidelberg

Buchreihe : Studies in Fuzziness and Soft Computing

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SUCHEN

Über dieses Buch

Game theory has already proved its tremendous potential for con?ict resolution problems in the ?elds of Decision Theory and Economics. In the recent past, there have been attempts to extend the results of crisp game theory to those con?ict resolution problems which are fuzzy in nature e.g. Nishizaki and Sakawa [61] and references cited there in. These developments have lead to the emergence of a new area in the literature called fuzzy games. Another area in the fuzzy decision theory, which has been growing very fast is the area of fuzzy mathematical programming and its applications to various branches of sciences, Engineering and Management. In the crisp scenario, there exists a beautiful relationship between two person zero sum matrix game theory and duality in linear p- gramming. It is therefore natural to ask if something similar holds in the fuzzy scenario as well. This discussion essentially constitutes the core of our presentation. The objective of this book is to present a systematic and focussed study of the application of fuzzy sets to two very basic areas of decision theory, namely Mathematical Programming and Matrix Game Theory.

Inhaltsverzeichnis

Frontmatter
1. Crisp matrix and bi-matrix games: some basic results
2. Fuzzy sets
3. Fuzzy numbers and fuzzy arithmetic
3.7 Conclusions
In this chapter we have presented a very basic but brief discussion on fuzzy numbers and fuzzy arithmetic. Since ranking of fuzzy numbers is an important aspect in the study of fuzzy mathematical programming and fuzzy games, we shall continue our discussion on this topic in later chapters as well.
4. Linear and quadratic programming under fuzzy environment
5. Duality in linear and quadratic programming under fuzzy environment
6. Matrix games with fuzzy goals
7. Matrix games with fuzzy pay-offs
8. More on matrix games with fuzzy pay-offs
8.5 Conclusions
Continuing with our discussion from Chapter 7, in this chapter we have presented Maeda’s model and Li’s model along with Li and Yang’s model for matrix games with fuzzy pay-offs. These model do not require any priori choice of the ranking function and therefore seemingly are more useful for the fuzzy scenario. However, unlike the ranking function approach, these models do not seem to provide any equivalence in terms of duality in fuzzy linear programming.
9. Fuzzy Bi-Matrix Games
10. Modality and other approaches for fuzzy linear programming
Backmatter
Metadaten
Titel
Fuzzy Mathematical Programming and Fuzzy Matrix Games
verfasst von
Dr. C. R. Bector
Dr. Suresh Chandra
Copyright-Jahr
2005
Verlag
Springer Berlin Heidelberg
Electronic ISBN
978-3-540-32371-6
Print ISBN
978-3-540-23729-7
DOI
https://doi.org/10.1007/3-540-32371-6

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