A direct interval extension of TOPSIS method

Dymova, Ludmila; Sevastjanov, Pavel; Tikhonenko, Anna

doi:10.1016/j.eswa.2013.02.022

Cited by 154 publications

(80 citation statements)

References 19 publications

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“…In the proposed model, we have utilized the IVHF-Euclidean distance and IVHF-Hamming distance measures because of more attention in the related literature along with ease of interpretation and simplicity in decisionmaking modeling (e.g., [3,8]. In addition, the normalization method presented in definition 6 has been utilized in the proposed new IVHF-MCWR model because it has been easy to use and widely applied in the related literature (e.g., [7,22].…”

Section: Proposed New Ivhf-mcwr Modelmentioning

confidence: 99%

A new multi-criteria weighting and ranking model for group decision-making analysis based on interval-valued hesitant fuzzy sets to selection problems

Gitinavard

Mousavi

Vahdani

2015

Neural Comput & Applic

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The multi-criteria group decision-making methods under fuzzy environments are developed to cope with imprecise and uncertain information for solving the complex group decision-making problems. A team of some professional experts for the assessment is established to judge candidates or alternatives among the chosen evaluation criteria. In this paper, a novel multi-criteria weighting and ranking model is introduced with interval-valued hesitant fuzzy setting, namely IVHF-MCWR, based on the group decision analysis. The interval-valued hesitant fuzzy set theory is a powerful tool to deal with uncertainty by considering some interval-values for an alternative under a set regarding assessment factors. In procedure of the proposed IVHF-MCWR model, weights of criteria as well as experts are considered to decrease the errors. In this regard, optimal criteria' weights are computed by utilizing an extended maximizing deviation method based on IVHFHamming distance measure. In addition, experts' judgments are taken into account for computing the criteria' weights. Also, experts' weights are determined based on proposed new IVHF technique for order performance by similarity to ideal solution method. Then, a new IVHFindex based on Hamming distance measure is introduced to compute the relative closeness coefficient for ranking the candidates or alternatives. Finally, two application examples about the location and supplier selection problems are considered to indicate the capability of the proposed IVHF-MCWR model. In addition, comparative analysis is reported to compare the proposed model and three fuzzy decision methods from the recent literature. Comparing these approaches and computational results shows that the IVHF-MCWR model works properly under uncertain conditions.

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Section: Proposed New Ivhf-mcwr Modelmentioning

confidence: 99%

A new multi-criteria weighting and ranking model for group decision-making analysis based on interval-valued hesitant fuzzy sets to selection problems

Gitinavard

Mousavi

Vahdani

2015

Neural Comput & Applic

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“…Unsurprisingly, many scholar generalised the TOPSIS to make it deal with interval numbers (Dymova et al, 2013;Jahanshahloo et al, 2009;Yue, 2011), fuzzy data (Chen, 2000;Krohling and Campanharo, 2011;Lee et al, 2014) intuitionistic fuzzy information (Boran et al, 2009), probability distribution values (Lourenzutti and Krohling, 2014;Xiong and Qi, 2010) and hesitant fuzzy inputs (Xu and Zhang, 2013). Though various generalisations were proposed, methods to deal with heterogeneous information in TOPSIS were limited.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of near optimal user interface with minimal UI elements using evidence based recommendations and multi criteria decision making: TOPSIS method

Vairamuthu¹,

Anouncia²

2018

IJHT

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Abstract:One among the research challenges in human computer interaction (HCI) is to build user interfaces in the way that make users satisfy. This would improve the usability of an information system. In general, usability is one of the non-functional requirements which decides the acceptability. Usability factors when not considered properly during interaction design will lead spending more cost and time for any organisation. Simple interaction styles with guiding user interface components for navigations will improve the users' interaction. The improved interaction thus would facilitate in improving the users satisfaction towards using any information system. In this work, it has been attempted to recommend designers to build user interface with minimal components without compensating the effectiveness. For this process, the multi criteria decision making (MCDM) approach technique for order preference by similarity to ideal solution (TOPSIS) was employed in this work.

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“…The TOPSIS method makes full use of the index data information analyses of the differences between the cities and calculates the distance between the measurement targets for the optimal solution and the worst solution. From this final analysis, the relative degree between the city's development level and the optimal solution can be determined [30][31][32]. This method has the advantage of being real, intuitive, and reliable as there are special requirements for the samples.…”

Section: Measurement Modelmentioning

confidence: 99%

Sustainable Urban Development Capacity Measure—A Case Study in Jiangsu Province, China

et al. 2016

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Abstract:Measuring the success of sustainable urban development has been difficult in the past. However, as this has become more important in the past few years, this paper develops an innovative sustainable urban development capacity measurement model based on principal component analysis (PCA) and Grey TOPSIS methodology, which has a significantly more comprehensive measurement, and reduces processing time and calculation difficulty. First, PCA is used to extract the main components that affect a city's sustainable development capacity. Then, the actual sustainable development capacity level is measured using Grey TOPSIS, from which the sustainable development capacity measurement value is then calculated. To prove the model's effectiveness and operability, it is then applied to measure the sustainable development capacity in 13 cities in Jiangsu province, China.

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A direct interval extension of TOPSIS method

Cited by 154 publications

References 19 publications

A new multi-criteria weighting and ranking model for group decision-making analysis based on interval-valued hesitant fuzzy sets to selection problems

A new multi-criteria weighting and ranking model for group decision-making analysis based on interval-valued hesitant fuzzy sets to selection problems

Design of near optimal user interface with minimal UI elements using evidence based recommendations and multi criteria decision making: TOPSIS method

Sustainable Urban Development Capacity Measure—A Case Study in Jiangsu Province, China

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