An approach to generalization of fuzzy TOPSIS method

Dymova, Ludmila; Sevastjanov, Pavel; Tikhonenko, Anna

doi:10.1016/j.ins.2013.02.049

Cited by 89 publications

(47 citation statements)

References 56 publications

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“…TOPSIS has been modified to be employed in a fuzzy environment called fuzzy TOP-SIS. There are many applications of fuzzy TOPSIS in the literature, such as Dymova et al (2013), Kannan et al (2014), and Roszkowska and Wachowicz (2015). Further research may be the application of these methods to evaluate the service quality of restaurants, especially Korean restaurants and compare the results with this research.…”

Section: Conclusion and Future Research Directionmentioning

confidence: 96%

Evaluating Service Quality of Korean Restaurants: A Fuzzy Analytic Hierarchy Approach

Ulkhaq¹,

Nartadhi²,

Akshinta³

2016

Industrial Engineering and Management Systems

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Every service firm must find ways to attract new customers, retain existing customers, and remain competitive and profitable. As competition increases, delivering better service becomes more important. Service quality is considered as a vital aspect for the success of the firms. Restaurant cannot be separated from the service quality they have to deliver. The development of restaurant is supported with the reputation of the country where the food comes from. Recently, one of the most trending topic is Korean wave which affects the Korean cuisine. A fuzzy AHP was employed to evaluate the service quality. It is more preferable than traditional AHP which is criticized for its inability to handle the uncertainty of the decision maker's perception. Six attributes are used to evaluate five Korean restaurants in Semarang, Indonesia. The result shows that innovation is the most important attribute. It seems that decision makers viewed the food variation and new method service as main factors that the restaurants have to manage. This finding can provide the managers with valuable insights into the attribute that reflects customers' perceptions; also to position their service based on their competitors. Validating the scale in other culture-based restaurants is an interesting area to be pursued.

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Section: Conclusion and Future Research Directionmentioning

confidence: 96%

Evaluating Service Quality of Korean Restaurants: A Fuzzy Analytic Hierarchy Approach

Ulkhaq¹,

Nartadhi²,

Akshinta³

2016

Industrial Engineering and Management Systems

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“…The following examples illustrate the following: the SAW (Simple Additive Weighing) [13][14][15][16], the very wellknown and widely used AHP (Analytic Hierarchy Process) [12,[17][18][19][20][21][22][23][24][25], and ANP (Analytic Network Process) [26][27][28][29][30][31][32][33]. Other well-known methods, such as TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) [34][35][36][37][38][39][40], ELECTRE (ELimination and Choice Expressing REality) [41][42][43][44][45], and PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) [46][47][48][49][50] are not strictly linear; however, they assume and use global The criterion function for coffee taste can be identified by interviewing a given person (declarative identification) or experimentally, by giving the person coffees containing a range of sugar concentrations and asking her/him to evaluate the coffee taste (or to compare tastes of various coffee pairings). The obtained taste-evaluations can be processed using the characteristic objects method proposed here, which enables criterion-function identification.…”

Section: Are Expert-criteria Linear or Nonlinear?mentioning

confidence: 99%

Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method

Piegat

Sałabun

2014

Applied Computational Intelligence and Soft Computing

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This paper presents a new, nonlinear, multicriteria, decision-making method: the characteristic objects (COMET). This approach, which can be characterized as a fuzzy reference model, determines a measurement standard for decision-making problems. This model is distinguished by a constant set of specially chosen characteristic objects that are independent of the alternatives. After identifying a multicriteria model, this method can be used to compare any number of decisional objects (alternatives) and select the best one. In the COMET, in contrast to other methods, the rank-reversal phenomenon is not observed. Rank-reversal is a paradoxical feature in the decision-making methods, which is caused by determining the absolute evaluations of considered alternatives on the basis of the alternatives themselves. In the Analytic Hierarchy Process (AHP) method and similar methods, when a new alternative is added to the original alternative set, the evaluation base and the resulting evaluations of all objects change. A great advantage of the COMET is its ability to identify not only linear but also nonlinear multicriteria models of decision makers. This identification is based not on a ranking of component criteria of the multicriterion but on a ranking of a larger set of characteristic objects (characteristic alternatives) that are independent of the small set of alternatives analyzed in a given problem. As a result, the COMET is free of the faults of other methods.

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“…However, TOPSIS has difficulties in determining the weights of multiple alternatives and keeping the consistency of judgment [26]. For example, most of the TOPSIS methods require the weight evaluations given by domain experts [27]; this inevitably leads to the bias in the evaluation and the subjective decision [28]. Besides, most of studies on TOPSIS are mainly focused on business decision making problems [29,30].…”

Section: Introductionmentioning

confidence: 99%

A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China

2017

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Abstract:Air pollution has become one of the key environmental concerns in the urban sustainable development. It is important to evaluate the impact of air pollution on socioeconomic development since it is the prerequisite to enforce an effective prevention policy of air pollution. In this paper, we model the impact of air pollution on the urban economic development as a Multiple Criteria Decision Making (MCDM) problem. In particular, we propose a novel Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis framework to evaluate multiple factors of air pollutants and economic development. Our method can overcome the drawbacks of conventional TOPSIS methods by using Bayesian regularization and the Back-Propagation (BP) neural network to optimize the weight training process. We have conducted a case study to evaluate our proposed framework.

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An approach to generalization of fuzzy TOPSIS method

Cited by 89 publications

References 56 publications

Evaluating Service Quality of Korean Restaurants: A Fuzzy Analytic Hierarchy Approach

Evaluating Service Quality of Korean Restaurants: A Fuzzy Analytic Hierarchy Approach

Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method

A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China

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