Bookcover of Ranking Approach to Solve Linear Programming Problems with Fuzzy Sets
Booktitle:

Ranking Approach to Solve Linear Programming Problems with Fuzzy Sets

Ranking methods and fuzzy optimization

LAP LAMBERT Academic Publishing (2013-07-25 )

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ISBN-13:

978-3-659-43475-4

ISBN-10:
3659434752
EAN:
9783659434754
Book language:
English
Blurb/Shorttext:
Linear programming is one of the most frequently applied operations research techniques. The classical tool for solving the linear programming problem in practice is the class of simplex algorithm which was proposed and developed by Dantzig. A lot of real world decision problems are described by linear programming models and sometimes it is necessary to formulate them with elements of imprecision or uncertainty. This imprecise nature has long been studied with the help of the probability theory. However, the probability theory might not provide the correct interpretation to solve some practical decision making problems. In these cases, the fuzzy set theory might be more helpful. In this book, the limitations and shortcomings of existing methods for solving linear programming problems with fuzzy sets are pointed out. Some new ranking approaches for the ordering of fuzzy sets and vague sets are developed and also new methods to find the unique optimal solutions of linear programming problems under fuzzy environment and vague environment are presented.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Pushpinder Singh
Number of pages:
100
Published on:
2013-07-25
Stock:
Available
Category:
Mathematics
Price:
54.90 €
Keywords:
Divergence, Vague sets, Intuitionistic Fuzzy Sets, Feasible Solution, generalized fuzzy sets, p norm non normal fuzzy sets, Linear programming problems, fuzzy optimization, alternative optimal solutions, mode, Ranking function, Fuzzy Sets, Spread

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