On LR-type fully intuitionistic fuzzy linear programming with inequality constraints: Solutions with unique optimal values

•Singh and Yadav’s method cannot yield solutions with unique optimal values.•A lexicographic criterion for ranking LR-type intuitionistic fuzzy numbers is given.•A method to find solutions of FIFLP problems with unique optimal values is proposed.•Intuitionistic fuzzy inequality constraints are defin...

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Vydáno v:Expert systems with applications Ročník 128; s. 246 - 255
Hlavní autoři: Pérez-Cañedo, Boris, Concepción-Morales, Eduardo René
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier Ltd 15.08.2019
Elsevier BV
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ISSN:0957-4174, 1873-6793
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Abstract •Singh and Yadav’s method cannot yield solutions with unique optimal values.•A lexicographic criterion for ranking LR-type intuitionistic fuzzy numbers is given.•A method to find solutions of FIFLP problems with unique optimal values is proposed.•Intuitionistic fuzzy inequality constraints are defined lexicographically.•A fully intuitionistic fuzzy production planning problem is solved as illustration. Singh and Yadav (2017) defined the product of unrestricted LR-type Intuitionistic Fuzzy Numbers (IFNs), and making use of the new product operation, the authors proposed a method to solve Fully Intuitionistic Fuzzy Linear Programming (FIFLP) problems. However, their method cannot be used to find the unique optimal value of FIFLP problems with inequality constraints. Recently, Pérez-Cañedo and Concepciõn-Morales (2019) presented a method to find the unique optimal fuzzy value of Fully Fuzzy Linear Programming (FFLP) problems with equality and inequality constraints based on the optimisation of a lexicographic criterion for ranking LR fuzzy numbers. The authors suggested that their method could be extended to find the unique optimal intuitionistic fuzzy value of FIFLP problems with inequality constraints as well. In this paper, we analyse Singh and Yadav’s method and modify it to find the unique optimal intuitionistic fuzzy value of FIFLP problems with equality and inequality constraints. Thus, a new method is obtained and is demonstrated by means of a fully intuitionistic fuzzy production planning problem. Results are compared with those obtained by using Singh and Yadav’s method and show that the proposed method overcomes the shortcomings and limitations of their method.
AbstractList •Singh and Yadav’s method cannot yield solutions with unique optimal values.•A lexicographic criterion for ranking LR-type intuitionistic fuzzy numbers is given.•A method to find solutions of FIFLP problems with unique optimal values is proposed.•Intuitionistic fuzzy inequality constraints are defined lexicographically.•A fully intuitionistic fuzzy production planning problem is solved as illustration. Singh and Yadav (2017) defined the product of unrestricted LR-type Intuitionistic Fuzzy Numbers (IFNs), and making use of the new product operation, the authors proposed a method to solve Fully Intuitionistic Fuzzy Linear Programming (FIFLP) problems. However, their method cannot be used to find the unique optimal value of FIFLP problems with inequality constraints. Recently, Pérez-Cañedo and Concepciõn-Morales (2019) presented a method to find the unique optimal fuzzy value of Fully Fuzzy Linear Programming (FFLP) problems with equality and inequality constraints based on the optimisation of a lexicographic criterion for ranking LR fuzzy numbers. The authors suggested that their method could be extended to find the unique optimal intuitionistic fuzzy value of FIFLP problems with inequality constraints as well. In this paper, we analyse Singh and Yadav’s method and modify it to find the unique optimal intuitionistic fuzzy value of FIFLP problems with equality and inequality constraints. Thus, a new method is obtained and is demonstrated by means of a fully intuitionistic fuzzy production planning problem. Results are compared with those obtained by using Singh and Yadav’s method and show that the proposed method overcomes the shortcomings and limitations of their method.
Singh and Yadav (2017) defined the product of unrestricted LR-type Intuitionistic Fuzzy Numbers (IFNs), and making use of the new product operation, the authors proposed a method to solve Fully Intuitionistic Fuzzy Linear Programming (FIFLP) problems. However, their method cannot be used to find the unique optimal value of FIFLP problems with inequality constraints. Recently, Pérez-Cañedo and Concepciõn-Morales (2019) presented a method to find the unique optimal fuzzy value of Fully Fuzzy Linear Programming (FFLP) problems with equality and inequality constraints based on the optimisation of a lexicographic criterion for ranking LR fuzzy numbers. The authors suggested that their method could be extended to find the unique optimal intuitionistic fuzzy value of FIFLP problems with inequality constraints as well. In this paper, we analyse Singh and Yadav’s method and modify it to find the unique optimal intuitionistic fuzzy value of FIFLP problems with equality and inequality constraints. Thus, a new method is obtained and is demonstrated by means of a fully intuitionistic fuzzy production planning problem. Results are compared with those obtained by using Singh and Yadav’s method and show that the proposed method overcomes the shortcomings and limitations of their method.
Author Pérez-Cañedo, Boris
Concepción-Morales, Eduardo René
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Keywords 90C30
Lexicographic ranking criterion
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Fully intuitionistic fuzzy linear programming
LR-type Intuitionistic fuzzy number
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Unique optimal intuitionistic fuzzy value
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Snippet •Singh and Yadav’s method cannot yield solutions with unique optimal values.•A lexicographic criterion for ranking LR-type intuitionistic fuzzy numbers is...
Singh and Yadav (2017) defined the product of unrestricted LR-type Intuitionistic Fuzzy Numbers (IFNs), and making use of the new product operation, the...
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SubjectTerms Fully intuitionistic fuzzy linear programming
Inequality
Lexicographic ranking criterion
Linear programming
LR-type Intuitionistic fuzzy number
Nonlinear programming
Optimization
Production planning
Unique optimal intuitionistic fuzzy value
Title On LR-type fully intuitionistic fuzzy linear programming with inequality constraints: Solutions with unique optimal values
URI https://dx.doi.org/10.1016/j.eswa.2019.03.035
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