Measuring Congruence of Ranking Results Applying Particular MCDM Methods

Antuchevičienė, Jurgita; Zakarevičius, Algimantas; Zavadskas, Edmundas Kazimieras

doi:10.15388/informatica.2011.329

Cited by 95 publications

(48 citation statements)

References 35 publications

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“…Interesting and valuable work in the field of MCDM benchmarking has been performed by Kou et al (2012), Peng et al (2011), Baležentis et al (2012) and Stanujkic et al (2012). Antuchevičienė et al (2011Antuchevičienė et al ( , 2012 carried out investigation on fuzzy MCDM methods (TOPSIS, VIKOR and COPRAS) and provided a comparative analysis. A large number of valuable works has been conducted, which enables us to evaluate the positive and negative characteristics of different MCDM methods and their ability to help solving real practical problems in different areas.…”

Section: Referencementioning

confidence: 99%

“…Considered problem Kou et al 2012 Evaluation of classification algorithms using MCDM and rank correlation Peng et al 2011FAMCDM Podvezko 2011 Comparative analysis SAW and COPRAS Antuchevičienė et al 2012 Comparative analysis of FTOPSIS, FVIKOR and COPRAS-F Antuchevičienė et al 2011 Measuring congruence of ranking results applying particular MCDM methods Opricovic, Tzeng 2004 TOPSIS andVIKOR Simanavičienė, Ustinovičius 2012 TOPSIS, SAW, COPRAS Chakraborty 2011…”

Section: Referencementioning

confidence: 99%

See 1 more Smart Citation

State of Art Surveys of Overviews on McDm/Madm Methods

Zavadskas

Turskis

Kildienė

2014

Technological and Economic Development of Economy

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614

286

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Decision-making is primarily a process that involves different actors: people, groups of people, institutions and the state. As a discipline, multi-criteria decision-making has a relatively short history. Since 1950s and 1960s, when foundations of modern multi-criteria decision-making methods have been laid, many researches devoted their time to development of new multi-criteria decision-making models and techniques. In the past decades, researches and development in the field have accelerated and seem to continue growing exponentially. Despite the intensive development worldwide, few attempts have been made to systematically present the theoretical bases and developments of multi-criteria decision-making methods. However, the methodological choices and framework for assessment of decisions are still under discussion. The article describes the situation with reviews of MCDM/MADM methods. Furthermore, there is a need for research to study the strengths and weaknesses of different decision-making methods.

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Section: Referencementioning

confidence: 99%

Section: Referencementioning

confidence: 99%

State of Art Surveys of Overviews on McDm/Madm Methods

Zavadskas

Turskis

Kildienė

2014

Technological and Economic Development of Economy

Self Cite

614

286

View full text Add to dashboard Cite

show abstract

“…Antucheviciene et al [81] evaluated the results of VIKOR, TOPSIS, and COPRAS in building redevelopment problem and deduced that COPRAS and TOPSIS were superior to VIKOR. It is noteworthy that VIKOR is one of the popular MCDM methods.…”

Section: Multi-criteria Decision Making (Mcdm)mentioning

confidence: 99%

“…Similar to TOPSIS, COPRAS is a compensatory technique. Also, owing to its distinguishing features, COPRAS has been e ectively employed in various elds [80,81,83,85]. The procedure of COPRAS is explained below [80]:…”

Section: Complex Proportional Assessment (Copras)mentioning

confidence: 99%

A stochastic multi-objective model based on the classical optimal search model for searching for the people who are lost in response stage of earthquake

et al. 2018

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Although after an earthquake, the injured person should be equipped with food, shelter, and hygiene activities, before anything must be searched and rescued. However, Disaster Management (DM) has focused heavily on emergency logistics and developing an e ective strategy for search operations has been largely ignored. In this study, we suggest a stochastic multi-objective optimization model to allocate resource and time for searching the individuals who are trapped in disaster regions. Since in disaster conditions, the majority of information is uncertain, our model assumes ambiguity for the locations where the missing people may exist. Fortunately, the suggested model ts nicely into the structure of the classical optimal search model as it uses a stochastic dynamic programming approach to solving this problem. On the other hand, through a computational experiment, we observed that the model needed heavy computation. Therefore, we reformulated the suggested search model for a Multi-Criteria Decision Making (MCDM) problem and employed two e cient MCDM techniques, namely TOPSIS and COPRAS, to tackle the ranking problem. Consequently, the computational e ort signi cantly decreased and a promising solution was achieved.

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“…There are a number of recent crisp and fuzzy TOPSIS applications in different areas, including selection information and communication technology projects (Samadi et al, 2014;Li and Chou, 2014), companies' competence or financial performances evaluation (Amiri et al, 2009;Çelen, 2014), analyzing investment projects, business competition and other strategic decisions (Torlak et al, 2010;Antucheviciene et al, 2011;Onar et al, 2014;Yazdani-Chamzini et al, 2014;Kilic and Kaya, 2015;Akhavan et al, 2015), project's risk evaluation (Tamosaitiene et al, 2013), supplier selection (Roghanian et al, 2010;Lee et al, 2015), assessment of intelli-gent building (Kaya and Kahraman, 2014), location selection (Chung and Kim, 2014;Cebi and Otay, 2015), and etc.…”

Section: Fuzzy Topsismentioning

confidence: 99%

A Hybrid MCDM Approach Based on Fuzzy ANP and Fuzzy TOPSIS for Technology Selection

Nouri¹,

Esbouei²,

Antuchevičienė³

2015

Informatica

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In order to compete in the global environment, a manufacturing company has to keep developing new technologies. Selection of a right technology is a critical stage in a successful technology transfer process. However, technology selection is a complex multi-dimensional problem including both qualitative and quantitative factors, such as human resources, operational and financial dimensions, which may be in conflict and may also be uncertain. In addition, interdependent relationships exist among various dimensions as well as criteria of technology selection. The identified problems could be solved by combining multiple criteria decision making (MCDM) methods of different nature and fuzzy set theory. The objective of the current paper is to develop a complex approach to evaluate technologies and to rank their appropriateness for a company. A hybrid model is proposed, based on Fuzzy Analytic Network Process (FANP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS). A real-life case study is presented to validate the proposed model.

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Measuring Congruence of Ranking Results Applying Particular MCDM Methods

Cited by 95 publications

References 35 publications

State of Art Surveys of Overviews on McDm/Madm Methods

State of Art Surveys of Overviews on McDm/Madm Methods

A stochastic multi-objective model based on the classical optimal search model for searching for the people who are lost in response stage of earthquake

A Hybrid MCDM Approach Based on Fuzzy ANP and Fuzzy TOPSIS for Technology Selection

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