Neutrosophic-simplified-TOPSIS Multi-Criteria Decision-Making using combined Simplified-TOPSIS method and Neutrosophics

2016 ◽  
Author(s):  
Azeddine Elhassouny ◽  
Florentin Smarandache
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Topsis Method

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

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.

scholarly journals Comparison of the Economic Performance of Turkish Republics in Central Asia with TOPSIS Method

2015 ◽  
Author(s):  
Ziya Gökalp Göktolga ◽  
Engin Karakış ◽  
Hakan Türkay
Keyword(s):  
Decision Making ◽  
Central Asia ◽  
Economic Performance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Economic Management ◽  
Macroeconomic Indicators ◽  
Order Preference ◽  
Negative Ideal Solution

The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.

Extended topsis method based on Pythagorean cubic fuzzy multi-criteria decision making with incomplete weight information

2020 ◽  
Vol 38 (2) ◽  
pp. 2285-2296 ◽  
Author(s):  
Muhammad Sajjad Ali Khan ◽  
Faisal Khan ◽  
Joseph Lemley ◽  
Saleem Abdullah ◽  
Fawad Hussain
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Incomplete Weight ◽  
Incomplete Weight Information

scholarly journals Prioritizing Lean Manufacturing Practices in Small to Medium Enterprises by Applying TOPSIS in Fuzzy Environment

2014 ◽  
Vol 903 ◽  
pp. 438-443
Author(s):  
Hamed Tamjid Yamchello ◽  
R. Samin ◽  
Alireza Tamjidyamcholo ◽  
Alireza Rashidi
Keyword(s):  
Decision Making ◽  
Production System ◽  
Lean Manufacturing ◽  
Lean Production ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Fuzzy Environment ◽  
Lean Practices ◽  
Medium Enterprises

Due to the globalization most of the Small to Medium Enterprises (SMEs) are faced with a lot of pressure to survive. To overcome these pressures, Lean Production System could be very helpful to SMEs. In this research we want to highlight how it can help SMEs, identify limitations to implement lean manufacturing in SMEs and finally prioritize lean practices for implementing in SMEs. For this aim, TOPSIS method in fuzzy environment was applied. Twenty two lean practices which identified by Shah and Ward in 2003 [10] is used as the most suitable lean practices for implementing lean production. Then the barriers of implementing lean production in SMEs identified. An example is provided to illustrate finding of this study. In this study, the barriers of implementing lean production in SMEs were highlighted. It has strived to illustrate the applicability of Multi Criteria Decision Making method in lean production and SMEs. Finally, the result which is the ranked practices of lean production could help managers of SMEs to choose the most suitable practices of lean associated with less risk.

Multi-Criteria Decision Making Methods for Designing Optomechatronic Systems

2015 ◽  
Vol 220-221 ◽  
pp. 188-193
Author(s):  
Tomasz Giesko
Keyword(s):  
Decision Making ◽  
Vision System ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Relative Closeness ◽  
Innovative Solutions ◽  
Essential Problem ◽  
Economic Criteria ◽  
The Ideal

When designing unique optomechatronic systems with the application of innovative solutions, decision making with respect to a number of technical and economic criteria seems to be an essential problem. The multi-criteria decision theory is a process of selecting the best solution to the set of alternatives. The paper presents the application of the TOPSIS method for working towards a solution to decision making in the process of designing a unique measurement vision system. The set of alternatives for the vision system has been considered with regard to benefit and cost criteria. As a result, the best alternative has been identified, which represents the highest similarity to the ideal solution expressed by the value of the relative closeness index.

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