Interval Type-2 Fuzzy TOPSIS (IT2FTOPSIS) is a useful way to handle Fuzzy Multiple Attribute DecisionMaking (FMADM) problems in a more flexible and intelligent manner. It is very useful due to the fact that it uses Type-2 Fuzzy Sets (T2FSs) rather than Type-1 Fuzzy Sets (T1FSs) to represent the evaluating values and the weights of attributes. Besides, all the linguistic terms are pointed in Typ...

The aim of this paper is to present a hybrid group decision model for evaluating flexible manufacturing systems(FMSs), in which the information about attribute weights is completely unknown, and the attribute values take the form of triangular fuzzy numbers. In this proposed methodology, the voting method is adopted to calculate the attribute weights by aggregating the decision-makers’ attitude...

Spread mooring systems are associated with high level uncertainties and risks during tanker loading/ unloading operations. In addition, the design of such complex systems consists of many subjective and imprecise parameters. Therefore, in the present study, a fuzzy based decision support methodology is designed to overcome aforementioned characteristics. The fuzzy methodology incorporates quali...

A new method for solving intuitionistic fuzzy multi-attribute decision making problem is proposed, in which the information of attribute weights is incompletely known. Considering much information about hesitancy and vagueness inherited to intuitionistic fuzzy sets, a new class of distance for describing the deviation degrees between intuitionistic fuzzy sets is introduced. Furthermore, the mea...

This paper develops an evaluation approach based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), to help the Air Force Academy in Taiwan choose optimal initial training aircraft in a fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterised by triangular fuzzy numbers. This study applies the fuzzy multi-criteria decis...

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. ...

Reverse logistics practices are gaining attention due to industrial ecology, enforced legislation and corporate citizenship but presence of barriers make reverse logistics (RL) implementation difficult and hence reduce the success rate. To increase RL adoption, robust and flexible strategies are required to overcome its barriers. This study focuses on identification and ranking the solutions of...

Due to the increasing competition of globalization, selection of the most appropriate supplier is one of the key factors for the success of a supply chain management. Due to conflicting evaluations and insufficient information about the criteria, Intuitionistic fuzzy sets (IFSs) are considered as an impressive tool and utilized to specify the relative importance of the criteria. The aim of this...