A TOPSIS method by using generalized trapezoidal hesitant fuzzy numbers and application to a robot selection problem

2020 ◽  
Vol 38 (1) ◽  
pp. 779-793 ◽  
Author(s):  
Irfan Deli
Keyword(s):  
Fuzzy Numbers ◽  
Selection Problem ◽  
Topsis Method ◽  
Robot Selection

Research on Material Selection with Multi-Attribute Decision Method and G1 Method

2014 ◽  
Vol 952 ◽  
pp. 20-24 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Topsis Method ◽  
Attribute Weight ◽  
Multi Attribute Decision Making ◽  
Judgment Matrix ◽  
Optimal Material ◽  
Selection Of ◽  
Better Than

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Many factors (attributes) need to be considered in material selection process, and thus material selection problem is a multi-attribute decision making (MADM) problem. This paper proposes a new MADM method for material selection problem. G1 method does not need to test consistency of the judgment matrix. Thus it is better than AHP. In this paper, firstly, we use the G1 method to determine the attribute weight. Then TOPSIS method is used to calculate the closeness of the candidate materials with respect positive solution. A practical material selection case is used to demonstrate the effectiveness and feasibility of the proposed method.

scholarly journals Extended Version of Linguistic Picture Fuzzy TOPSIS Method and Its Applications in Enterprise Resource Planning Systems

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Shouzhen Zeng ◽  
Muhammad Qiyas ◽  
Muhammad Arif ◽  
Tariq Mahmood
Keyword(s):  
Enterprise Resource Planning ◽  
Fuzzy Numbers ◽  
Distance Measure ◽  
Hamming Distance ◽  
Resource Planning ◽  
Fuzzy Topsis ◽  
Extended Version ◽  
Topsis Method ◽  
Planning Systems ◽  
Enterprise Resource Planning Systems

The main objective of the proposed research in this paper is introducing an extended version of the linguistic picture fuzzy TOPSIS technique and then solving the problems in enterprise resource planning systems. In this article, we use the uncertain information in terms of linguistic picture fuzzy numbers; the decision maker provides membership, neutral, and nonmembership fuzzy linguistic terms to represent uncertain assessments information of alternatives in linguistic multicriteria decision making (LMCDMs). In order to introduce the extended version of TOPSIS method, we defined a new hamming distance measure between two linguistic picture fuzzy numbers. Further, we apply the proposed method to problem of enterprise resource planning systems and discuss numerical implementation of the proposed method of LMCDM.

SIGNED DISTANCED-BASED TOPSIS METHOD FOR MULTIPLE CRITERIA DECISION ANALYSIS BASED ON GENERALIZED INTERVAL-VALUED FUZZY NUMBERS

2011 ◽  
Vol 10 (06) ◽  
pp. 1131-1159 ◽  
Author(s):  
TING-YU CHEN
Keyword(s):  
Decision Analysis ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Multiple Criteria Decision Analysis ◽  
Topsis Method ◽  
Order Preference ◽  
Priority Order ◽  
Interval Valued

The theory of interval valued fuzzy sets is very valuable for modeling impressions of decision makers. In addition, it gives ability to quantify the ambiguous nature of subjective judgments in an easy way. In this paper, by extending the technique for order preference by similarity to ideal solution (TOPSIS), it is proposed a useful method based on generalized interval valued trapezoidal fuzzy numbers (GITrFNs) for solving multiple criteria decision analysis (MCDA) problems. In view of complexity in handling sophisticated data of GITrFNs, this paper employs the concept of signed distances to establish a simple and effective MCDA method based on the main structure of TOPSIS. An algorithm based on TOPSIS method is established to determine the priority order of given alternatives by using properties of signed distances. Finally, the feasibility of the proposed method is illustrated by a practical example of supplier selection.

Application of TOPSIS Method in Formwork Selection Problem

2015 ◽  
Vol 797 ◽  
pp. 101-107 ◽  
Author(s):  
Anna Krawczyńska-Piechna
Keyword(s):  
Selection Problem ◽  
Ideal Solution ◽  
Topsis Method ◽  
Paper Briefly ◽  
Importance Weights ◽  
The World

Formwork selection problem has been discussed since early 90’s until now by various researchers all over the world. Numerous methods have been applied to solve this problem, but not TOPSIS method, which is a technique for order performance by similarity to ideal solution. The paper briefly describes the algorithm of TOPSIS and its advantages over other MCDA methods. An appropriate example presents how to aid formwork selection using TOPSIS. The decisive criteria, their importance weights and formwork systems’ assessment, which are mandatory to solve the problem within the method, were obtained from a structured survey carried out among concrete works’ contractors.

An Improved TOPSIS Method for Material Selection Model

2014 ◽  
Vol 951 ◽  
pp. 120-123
Author(s):  
Wei Fan Huang
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Material Science ◽  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Entropy Measure ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Science Field

Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feasible.

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