Fuzzy optimization
Measuring effective indicators for waste disposal in order to assess the sustainable environment: application of fuzzy approach

Mohammad Hossein Kabgani

Volume 12, Issue 3 , September 2023, , Pages 287-305


  Selecting appropriate locations for Municipal Solid Waste (MSW) management facilities, such as landfills, is an important issue in rapidly developing regions. Multiple alternatives and evaluation attributes need to be analyzed to finalize the locations of these facilities. The selection of a landfill ...  Read More

Fuzzy optimization
A signed distance for (γ,δ) interval-valued fuzzy numbers to solve multi objective assignment problems with fuzzy parameters

Hamiden Abdelwahed Khalifa

Volume 11, Issue 2 , June 2022, , Pages 205-213


  In this paper, a multi-objective assignment problem with fuzzy parameters (FMOASP) is introduced. These fuzzy parameters are characterized by an  interval-valued fuzzy numbers instead of fuzzy numbers. The signed distance ranking of  interval- valued fuzzy numbers of the parameters are not ...  Read More

Fuzzy optimization
Solving semi-fully fuzzy linear programming problems

Ladji Kane; Hawa Bado; Moctar Diakite; Moussa Konate; Souleymane Kane; Koura Traore

Volume 10, Issue 3 , September 2021, , Pages 251-275


  The aim of this paper is to introduce a new technique for improve the methods for solving the Semi-fully Fuzzy Linear Programming Problems. An algorithm is proposed to find the fuzzy optimal solution of Semi-fully Fuzzy Linear Programming Problems. This technique is also best fuzzy optimal solution in ...  Read More

Fuzzy optimization
Ranking efficient DMUs using the Tchebycheff norm with fuzzy data in DEA

S. H. Mirzaei; A. Salehi

Volume 8, Issue 2 , June 2019, , Pages 158-175


  In many real applications, the data of production processes cannot be precisely measured. Hence the input and output of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA) may be imprecise or fuzzy-numbered. In original DEA models, inputs and outputs are measured by exact values on a ratio ...  Read More

Fuzzy optimization
Modified Method for Solving Fully Fuzzy Linear Programming Problem with Triangular Fuzzy Numbers

S. K. Das

Volume 6, Issue 4 , December 2017, , Pages 293-311


  The Fuzzy Linear Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc. In this paper, we proposed a modified algorithm to find the fuzzy optimal solution of fully fuzzy linear programming problems with equality ...  Read More

Fuzzy optimization
A New Method for Solving Fully Fuzzy Multi Objective Supplier Selection Problem

H. Nasseri; M. Morteznia; M. Mirmohseni

Volume 6, Issue 3 , November 2017, , Pages 214-227


  Supplier selection is one of the most critical activities of purchasing management in a supply chain. Because selecting right suppliers helps reduce purchasing costs, improve quality of final products and services, etc. In a real situation, for a supplier selection problem, most of the input information ...  Read More

Fuzzy optimization
Organizational Performance Evaluation Considering Human Capital Management Approach by Fuzzy-DEA: A Case Study

M. M. Tavakoli; B. Molavi; H. Shirouyehzad

Volume 6, Issue 1 , March 2017, , Pages 1-16


  In recent years, researchers in their studies considered human capital as one of the most important capitals of every organization and even some of them placed it beyond this definition and introduced it as the unique factor of creating the competitive advantage in the organization. Due to the importance ...  Read More

Decision analysis and methods
Failure Modes and Effects Analysis under Fuzzy Environment Using Fuzzy Axiomatic Design Approach

H. R. Seiti; A. Behnampour; D. M. Imani; M. Houshmand

Volume 6, Issue 1 , March 2017, , Pages 51-68


  Failure Modes and Effects Analysis (FMEA) is being widely used to detect and eliminate known and/or potential failures, problems, errors and so on from system design, process, and/or service, before they reach the customer. It can be done by calculating the risk priority number which is the product of ...  Read More