Selecting optimum maintenance strategy by fuzzy interactive linear assignment method

Using Fuzzy Delphi Method in Maintenance Strategy Selection Problem

In this paper, a new approach that applies fuzzy Delphi method in Simple Additive Weighting (SAW) is proposed to be used in the Maintenance Strategy Selection Problem (MSSP). This approach is based on representation of the importance of goals and each strategy capabilities to satisfy each maintenance goals with fuzzy numbers. Fuzzy Delphi method is applied for the assessment of the importance o...

Linear programming with fuzzy parameters: An interactive method resolution

This paper proposes a method for solving linear programming problems where all the coefficients are, in general, fuzzy numbers. We use a fuzzy ranking method to rank the fuzzy objective values and to deal with the inequality relation on constraints. It allows us to work with the concept of feasibility degree. The bigger the feasibility degree is, the worst the objective value will be. We offer ...

Solution of Fully Fuzzy Linear Systems by ST Method

Local Parking Positioning by Using the Linear Assignment Method (Case Study: Qazvin, Iran)

Concerning the population growth and urban development, significant growth in the rate of personal car usage has caused more transportation and thus growth in occupying the street areas for parking vehicles. This has caused much transporting problems and traffic. Hence concerning the parking issue is crucial in traffic and municipal management.The important issue is the suitable place for the p...

Design of single-sampling inspection-plan approach by mathematical programming and linear assignment method

This study proposes a new approach for single-sampling plan by determining sample size and acceptance number. The proposed approach is based on a two-step methodology. In the first step: quality management step, different single sampling inspection plans were generated by running an optimization model for different possible acceptance numbers. While, in the second step: Multi-Attribute Decision...