Solving Intuitionistic Fuzzy Linear Programming Problem—II

作     者：Arpita Kabiraj Prasun Kumar Nayak Swapan Raha 

作者机构：Department of Mathematics Siksha-Bhavana (Institute of Sciences) Visva-Bharati University Santiniketan India Department of Mathematics Midnapore College (Autonomous) Midnapore India. 

出 版 物：《International Journal of Intelligence Science》 (智能科学国际期刊（英文）)

年 卷 期：2019年第9卷第4期

页      面：93-110页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Fuzzy Linear Programming Problem (FLPP) Intuitionistic Fuzzy Set (IFS) Intuitionistic Fuzzy Number (IFN) Intuitionistic Fuzzy Linear Programming Problem (IFLPP) 

摘      要：Under non-random uncertainty, a new idea of finding a possibly optimal solution for linear programming problem is examined in this paper. It is an application of the intuitionistic fuzzy set concept within scope of the existing fuzzy optimization. Here, we solve a linear programming problem (LPP) in an intuitionistic fuzzy environment and compare the result with the solution obtained from other existing techniques. In the process, the result of associated fuzzy LPP is also considered for a better understanding.