Results 31 to 40 of about 105,541 (300)

GENERALISED FUZZY LINEAR PROGRAMMING

open access: yesJournal of Energy Technology
Linear programming is one of the widely used methods for optimising business systems, which includes organisational, financial, logistic and control subsystems of energy systems in general. It is possible to express numerous real-world problems in a form of linear program and then solve by simplex method [1].
Usenik, Janez, Žulj, Maja
openaire   +2 more sources

Penalty method for fuzzy linear programming with trapezoidal numbers [PDF]

open access: yes, 2009
In this paper we shall propose an algorithm for solving fuzzy linear programming problems with trapezoidal numbers using a penalty method. We will transform the problem of maximizing a function having trapezoidal fuzzy number values under some ...
Stanojević Bogdana, Stanojević Milan
core   +2 more sources

Interior Point Method for Solving Fuzzy Number Linear Programming Problems Using Linear Ranking Function

open access: yesJournal of Applied Mathematics, 2013
Recently, various methods have been developed for solving linear programming problems with fuzzy number, such as simplex method and dual simplex method.
Yi-hua Zhong   +3 more
doaj   +1 more source

A Novel Technique for Solving Multiobjective Fuzzy Linear Programming Problems

open access: yesARO-The Scientific Journal of Koya University, 2017
This study considers multiobjective fuzzy linear programming (MFLP) problems in which the coefficients in the objective functions are triangular fuzzy numbers.
Abdulqader O. Hamadameen
doaj   +1 more source

A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters

open access: yesAlexandria Engineering Journal, 2016
Several methods currently exist for solving fuzzy linear programming problems under nonnegative fuzzy variables and restricted fuzzy coefficients. However, due to the limitation of these methods, they cannot be applied for solving fully fuzzy linear ...
H. Saberi Najafi   +2 more
doaj   +1 more source

Application of fuzzy random-based multi-objective linear fractional programming to inventory management problem

open access: yesSystems Science & Control Engineering, 2022
This research article aims to study a multi-objective linear fractional programming (FMOLFP) problem having fuzzy random coefficients as well as fuzzy pseudorandom decision variables.
Hamiden Abd El-Wahed Khalifa   +2 more
doaj   +1 more source

A review on history, trends and perspectives of fuzzy linear programming

open access: yesOperations Research Perspectives, 2022
This paper presents a literature review and analysis of fuzzy linear programming models and methods. This review traces back to the linear programming with fuzzy linear constraints models proposed by Hans Jürgen Zimmermann during 1974–76 which have ...
Juan Carlos Figueroa–García   +2 more
doaj   +1 more source

Linear Resolution for Fuzzy Logic Program

open access: yesJournal of Japan Society for Fuzzy Theory and Systems, 1994
Summary: Fuzzy logic programming is the theoretical foundation of Fuzzy Prolog, which is a fuzzy programming language based on fuzzy logic. In this paper, fuzzy logic programming is defined such that (1) fuzzy definite clause which is a logic formula for a representation of uncertain assertion, (2) fuzzy logical consequence which is a fuzzy definite ...
Kikuchi, Hiroaki, Mukaidono, Masao
openaire   +3 more sources

Solving P - Norm Intuitionistic Fuzzy Programming Problem [PDF]

open access: yes, 2015
In this paper, notion of p - norm generalized trapezoidal intuitionistic fuzzy numbers is introduced. A new ranking method is introduced for p - norm generalized trapezoidal intuitionistic fuzzy numbers.
Aggarwal, Shashi, Gupta, Chavi
core  

The Application of Imperialist Competitive Algorithm for Fuzzy Random Portfolio Selection Problem

open access: yes, 2013
This paper presents an implementation of the Imperialist Competitive Algorithm (ICA) for solving the fuzzy random portfolio selection problem where the asset returns are represented by fuzzy random variables.
Mohasefi, Jamshid Bagherzadeh   +1 more
core   +1 more source

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