Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS

Büyüközkan, Gülçin; Güleryüz, Sezin

doi:10.1080/18756891.2016.1204119

Cited by 80 publications

(40 citation statements)

References 54 publications

(43 reference statements)

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“…Secondary vertical shock absorber V 13 Railway coupling V 14 Gearbox V 15 Grounding device V 16 Traction motor V 17 Height adjusting device V 18 Antihunting damper V 19 Air spring V 20 Center pin bush V 21 Traction rod V 22 Transverse shock absorber V 23 Transverse backstop V 24 Anti-side-rolling torsion bar V 25 Control valve V 26 Speed Sensor 1 V 27 Speed Sensor 2 V 28 LKJ2000 V 29 Device for cleaning the tread band of vehicle wheels V 30 Acceleration sensor V 31 Junction box V 32 Temperature sensor bearing V 33 Axle temperature sensor…”

Section: A Case Study and Discussionmentioning

confidence: 99%

“…In recent years, researchers study a multiattribute ranking problem to evaluate the component importance comprehensively from more than one perspective, which would be a special case of multicriteria decisionmaking (MCDM). MCDM refers to making decision for alternatives in the presence of multiple and conflicting criteria [18] and has many developments and applications, such as extensions of TOPSIS [19,20], Analytic Hierarchy Process [21], -shell decomposition [22], and entropy theory [23]. Detailed descriptions and mathematical expressions for multicriteria decision-making approaches can be found in Govindan et al [24].…”

Section: Previous Workmentioning

confidence: 99%

See 1 more Smart Citation

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Lin

Wang

Jia

et al. 2017

Discrete Dynamics in Nature and Society

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In view of the negative impact of component importance measures based on system reliability theory and centrality measures based on complex networks theory, there is an attempt to provide improved centrality measures (ICMs) construction method with fuzzy integral for measuring the importance of components in electromechanical systems in this paper. ICMs are the meaningful extension of centrality measures and component importance measures, which consider influences on function and topology between components to increase importance measures usefulness. Our work makes two important contributions. First, we propose a novel integration method of component importance measures to define ICMs based on Choquet integral. Second, a meaningful fuzzy integral is first brought into the construction comprehensive measure by fusion multi-ICMs and then identification of important components which could give consideration to the function of components and topological structure of the whole system. In addition, the construction method of ICMs and comprehensive measure by integration multi-CIMs based on fuzzy integral are illustrated with a holistic topological network of bogie system that consists of 35 components.

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Section: A Case Study and Discussionmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Lin

Wang

Jia

et al. 2017

Discrete Dynamics in Nature and Society

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show abstract

“…Decision-making information provided by decision makers is often imprecise and uncertain because of a lack of data, time pressure, or the decision maker's limited attention and information-processing capabilities. Accordingly, research pertaining to multiple criteria decision analysis (MCDA) problems has often been performed within a fuzzy uncertain environment 1,4,11,18 .…”

Section: Introductionmentioning

confidence: 99%

“…The concept of Pythagorean fuzzy (PF) sets, which was introduced by Yager 23 and Yager and Abbasov 24 , is a useful and valuable extension of Atanassov's intuitionistic fuzzy sets 2 , in which the sum of the degree of membership and the degree of non-membership is less than or equal to one. Intuitionistic fuzzy sets are the most widely used type of nonstandard fuzzy models because of their great ability to handle imprecise and ambiguous information 3,4,18 . In a similar manner of the intuitionistic fuzzy model, PF sets are also characterized by degrees of membership and non-membership.…”

Section: Introductionmentioning

confidence: 99%

Multiple Criteria Decision Analysis Using Correlation-Based Precedence Indices Within Pythagorean Fuzzy Uncertain Environments

Wang¹,

Chen²

2018

IJCIS

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The theory of Pythagorean fuzzy sets possesses significant advantages in handling vagueness and complex uncertainty. Additionally, Pythagorean fuzzy information is useful to simulate the ambiguous nature of subjective judgments and measure the fuzziness and imprecision more flexibly. The aim of this research is to develop an effective assignment-based method using a novel concept of correlation-based precedence indices for conducting multiple criteria decision analysis within the Pythagorean fuzzy uncertain environment. Based on the ideas of information energy and correlations, this paper defines a novel concept of correlation-based precedence indices in the Pythagorean fuzzy context and discusses their desirable properties. Next, this paper presents some useful concepts of discordance indicators, weighted discordance indicators, comprehensive discordance indicators, and comprehensive discordance indices to construct a novel assignment model for acquiring a comprehensive ranking of candidate alternatives. As an application of the proposed assignment-based method, a practical example concerning a financing decision of working capital policies is provided to demonstrate its practicality and effectiveness.

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“…Büyüközkan et. al, have developed a multi criteria group decision making Approach in smart phone selection using intuitive fuzzy TOPSIS (Büyüközkan, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Decision making techniques for electronic communication: an example for Turkey

Tasabat¹,

Aydın²

2017

Pressacademia

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Communication is the way for people exchanging information with each other by using various tools. Electronic communication or Ecommunication is the process of sending, receiving and processing information or messages electronically. Electronic communication that is closely related to the development levels of countries, has made considerable progress especially in terms technology, innovation and entrepreneur. In this study, it is investigated whether electronic communication in Turkey is used effectively using the data published by Information and Communication Technologies Authority. For this purpose, different decision making techniques in data mining have been used. Obtained results are discussed.

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Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS

Cited by 80 publications

References 54 publications

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Multiple Criteria Decision Analysis Using Correlation-Based Precedence Indices Within Pythagorean Fuzzy Uncertain Environments

Decision making techniques for electronic communication: an example for Turkey

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