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Title: Method to solve linear programming problems using vague sets
Authors: Kumar A.
Devi K.
Yadav, Shiv Prasad
Published in: Proceedings of 2009 IEEE International Advance Computing Conference, IACC 2009
Abstract: In the process of finding the solutions of real life problems decision makers always remain in confusion that the data they are using to solve there problems are exact or not. In solving a linear programming problem, optimize z = cTx subject to (Ax)i≤bi, ∀i, x ≥ 0 there may be confusion about the values of cT, bi, and A and due to confusion for these values the confusion may also exist for the value of objective function. Several researchers have used fuzzy set theory for linear programming problems but this theory could not tackle the confusion part of the data. There is no method in the literature for solving linear programming problems in the situation when decision makers are in confusion about the exactness of the data. To incorporate this confusion concept of vague sets [9] have been used. In this paper, we have extended the idea of fuzzy linear programming by vague linear programming and proposed a new method to solve linear programming problems by assuming that the decision makers are confused only for the values of bi and there is no confusion and uncertainty for the values of cT and A. To explain the advantage of proposed method, a numerical exmample is solved. Obtained resulta aare explained. © 2009 IEEE.
Citation: Proceedings of 2009 IEEE International Advance Computing Conference, IACC 2009, (2009), 359- 363. Patiala
Issue Date: 2009
Keywords: Fuzzy Mathematical programming
Fuzzy sets
Vague sets
Decision makers
Fuzzy linear programming
Fuzzy Mathematical programming
Linear programming problem
Objective functions
Real-life problems
Vague sets
Dynamic programming
Fuzzy sets
Linear programming
Supply chain management
Problem solving
ISBN: 9.78E+12
Author Scopus IDs: 57200276125
Author Affiliations: Kumar, A.
Devi, K.
Yadav, S.P.
Appears in Collections:Conference Publications [MA]

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