In this paper, we extend TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving Large Scale Multiple Objective Programming problems involving fuzzy parameters. These fuzzy parameters are characterized as fuzzy numbers. For such problems, the α-Pareto optimality is introduced by extending the ordinary Pareto optimality on the basis of the α-Level sets of fuzzy numbers. ...

The purpose of this research is to assess the financial performance Malaysian Healthcare companies using multi-criteria and decision-making method, namely technique for order preference by similarity ideal solution (TOPSIS). data 20 in 2019 are retrieved from Datastream. For many years, ratios aspects have been employed analyse companies’ performance. However, some studies indicate that traditi...

the objective of this article is to develop an empirically based framework for formulating and selecting a vendor in supply chain. this study applies the fuzzy set theory to evaluate the vendor selection decision. applying analytic hierarchy process (ahp) in obtaining criteria weights and applied technique for order performance by similarity to idea solution (topsis) for obtaining final ranking...

Various traditional and industrial coke making techniques were discussed based on their limitations and production capacities, and the criteria such as the quality and size of coke production, amount of coke crumb, amount of investment, amount of operational costs, labor force and mechanization. In this work, the rankings of various traditional and industrial coke making techniques were carried...

This paper proposes a compromise model, based on the technique for order preference through similarity ideal solution (TOPSIS) methodology, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. This compromise programming method is ba...