fuzzy topsis
59528753
A comparison of fuzzy DEA and fuzzy TOPSIS in sustainable supplier selection: Implications for sourcing strategy
Abstract This paper presents a comparative analysis of the outcomes achieved when two widely applied methods for supplier selection the 'technique for order of preference by similarity to ideal solution' (TOPSIS) and 'data envelopment analysis' are applied to the problem of identifying the most preferred sustainable suppliers. Both fuzzy DEA and fuzzy TOPSIS are applied to a common dataset of logistics service providers in Sweden. The results reveal that TOPSIS outperforms DEA in terms of both calculation complexity and sensitivity to changes in the number of suppliers. However, output rankings from the two models are found to be less than perfectly correlated. The paper concludes that utilizing both methods, as applied to just a small number of evaluation criteria and a relatively low level of detail in the data, produces a useful pooled shortlist of potential sustainable suppliers. This can then form the basis for a second stage application where either of the methods may be applied to a greater number of criteria that are specified to a higher level of detail. Even more critically, the results also have the potential to point to specific aspects for discussion when negotiating price and service quality commitments with potential sustainable suppliers.
Expert Syst. Appl.
Kamran Rashidi Kevin Cullinane
116800257
Sustainable supplier selection: A multi criteria intuitionistic fuzzy TOPSIS method
Abstract The concept of sustainability is becoming an essential philosophy for numerous industrial sectors because of the increase in environmental protection and social obligations awareness. A sustainable supplier selection is the first step towards this trend. It is also a challenging problem since multi criteria group decision making is engaged with numerous conflicting requirements in which decision makers' knowledge is commonly imprecise and vague. This research presents an intuitionistic fuzzy TOPSIS method to select the right sustainable supplier that concerns nine criteria and thirty sub criteria for an automotive spare parts manufacturer. The proposed approach provides an accurate sustainable ranking of suppliers and a reliable solution for sustainable sourcing decisions that is validated through a real world case study. This paper ends with research and theoretical findings, managerial insights and directions for future research.
Ashkan Memari Ahmad Dargi Mohammad R Akbari Jokar Robiah Binti Ahmad Abdul Rahman Bin Abdul Rahim
59528268
Survey on fuzzy TOPSIS state of the art between 2007 and 2017
Abstract A crucial topic in expert system and operations research is fuzzy multi criteria decision making (FMCDM) which is used in different fields. Existing options and gaps in this topic must be understood to prepare valuable knowledge on FMCDM environments and assist scholars. This study maps the research landscape to provide a clear taxonomy. The authors focus on searching for articles related to (i) technique for order of preference by similarity to ideal solution (TOPSIS) (ii) development; and (iii) fuzzy sets in four primary databases, namely, IEEE Xplore, Web of Science, Elsevier ScienceDirect and Springer. These databases include literature that focuses on FMCDM. The resulting final set after the filtering process includes 170 articles, which are classified into four categories. The first, second, third and fourth categories include articles that used a type 1 fuzzy set with the TOPSIS method, a type 2 fuzzy set with the TOPSIS method, two fuzzy membership functions and a survey paper, respectively. The basic attributes of this topic include motivations for utilising FMCDM, open challenges and limitations that obstruct utilisation and recommendations to researchers for increasing the approval and application of FMCDM.
Comput. Oper. Res.
Mahmood Maher Salih Bilal Bahaa Zaidan Aws Alaa Zaidan Mohamed Aktham Ahmed
85498407
Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS
The fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are extremely beneficial when a decision making process is complex. The reason is that AHP and TOPSIS can prioritize multiple choice criteria into a hierarchy by assessing the relative importance of criteria and can thus generate an overall ranking of the alternatives. This study uses fuzzy AHP and fuzzy TOPSIS to evaluate the human resource in science and technology (HRST) performance of Southeast Asian countries. The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance. That is, these three countries have better HRST performances than other Southeast Asian countries.
Symmetry
Ying-Chyi Chou Hsin-Yi Yen Van Thac Dang Chia-chi Sun
201240952
Factors influencing medical tourism adoption in Malaysia: A DEMATEL Fuzzy TOPSIS approach
Abstract Tourism is one of the biggest competitive industries in the world. Nowadays, medical tourism is quickly developing as a part of tourism for health and wellness care. There are many factors influencing the development of medical tourism in developing countries. This research aims to identify those factors for medical tourism development in Malaysia. We investigate the factors from the literature to develop a new decision making model. We use two multi criteria decision making techniques, Decision Making Trial and Evaluation Laboratory (DEMATEL) and Fuzzy Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to reveal the interrelationships among the factors and to find the relative importance of these factors in the decision making model. The results showed that human and technological factors are the most important factors for medical tourism adoption in Malaysia. The results of this study will enable key players in the medical tourism industry to potentially assign investments for medical tourism in the developing countries.
Comput. Ind. Eng.
Mehrbakhsh Nilashi Sarminah Samad Azizah Bt Abdul Manaf Hossein Ahmadi Tarik A Rashid Asmaa Munshi Wafa Almukadi Othman Ibrahim Omed Hassan Ahmed
158813771
Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights
Abstract Concentrated solar power (CSP) technology has shown considerable long term growth with varying levels of peak development and stall phases over the years. More and more countries are finding CSP technology attractive for the production of electricity and other applications. CSP offers a variety of applications where solar power can be used appropriately, although the debate about which CSP technology has a better future perspective is still ongoing. This technology sector has seen a multitude of advancements and technological innovations. These improvements are primarily concerned with the design of the collectors and the related materials they are made from, the heat transfer processes, and the production and accumulation of energy. In order to assess these CSP technologies, in this paper we propose a fuzzy multi criteria method. Then, Solar tower (ST) Parabolic solar trough (PST) Compact linear Fresnel reflector (CLFR) and Dish Stirling (DS) are evaluated using a modified intuitionistic fuzzy TOPSIS with a trigonometric entropy vector weight.
Technological Forecasting and Social Change
Fausto Cavallaro Edmundas Kazimieras Zavadskas Dalia Streimikiene Abbas Mardani
174808649
Economic assessment and ranking of wind power potential using fuzzy TOPSIS approach
AbstractsIn this study, we proposed integrated tools to evaluate the wind power potential, economic viability, and prioritize 15 proposed sites for the installation of wind farms. Initially, we used modified Weibull distribution model coupled with power law to assess the wind power potential. Secondly, we employed value cost method to estimate per unit cost /kWh) of proposed sites. Lastly, we used Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F TOPSIS) to rank the best alternatives. The results indicate that Pakistan has enormous wind power potential that cost varies from 0.06 /kWh to 0.58 /kWh; thus, sites S12, S13, S14, and S15 are considered as the most economic viable locations for the installation of wind power project, while remaining sites are considered to be less important, due to other complexities. The further analysis using Fuzzy TOPSIS method reveals that site S13 is the most optimal location followed by S12, S14, and S14 for the development of wind power project. We proposed that government should formulate wind power policy for the implementation of wind power projects in order to meet energy demand of the country.
Environmental science and pollution research international
Muhammad Mohsin Ji-jian Zhang Rahman Saidur Huaping Sun Sadiq M Sait
67869330
Spherical fuzzy sets and spherical fuzzy TOPSIS method
J. Intell. Fuzzy Syst.
Fatma Kutlu Gundogdu Cengiz Kahraman
158399347
A Novel Trapezoidal Bipolar Fuzzy TOPSIS Method for Group Decision Making
In this research article, the notions of bipolar fuzzy numbers, trapezoidal bipolar fuzzy numbers, triangular bipolar fuzzy numbers and bipolar fuzzy linguistic variables are introduced. Ranking function on the set of all bipolar fuzzy numbers, and the expressions for the ranking of trapezoidal and triangular bipolar fuzzy numbers are derived. A group decision making method based on trapezoidal bipolar fuzzy TOPSIS method is proposed, and the implementation of the proposed method in the selection of best project proposal is presented. Finally, a theoretical comparison of the proposed trapezoidal bipolar fuzzy TOPSIS method with other multi criteria decision making methods such as TOPSIS, bipolar fuzzy TOPSIS and bipolar fuzzy ELECTRE I is discussed.
Muhammad Saeed Akram Maham Arshad
127274916
Extended Version of Linguistic Picture Fuzzy TOPSIS Method and Its Applications in 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.
Shouzhen Zeng Muhammad Qiyas Muhammad Arif Tariq Mahmood