An integrated method for cognitive complex multiple experts multiple criteria decision making based on ELECTRE III with weighted Borda rule

Omega ◽  
2020 ◽  
Vol 93 ◽  
pp. 102052 ◽  
Author(s):  
Huchang Liao ◽  
Xingli Wu ◽  
Xiaomei Mi ◽  
Francisco Herrera
2009 ◽  
Vol 15 (4) ◽  
pp. 369-376 ◽  
Author(s):  
Serdar Ulubeyli ◽  
Aynur Kazaz

In this study, the ELECTRE III method, which is one of the most common techniques among multiple criteria decision‐making (MCDM) approaches, was considered in a selection problem of concrete pumps. As a methodological framework, a two‐step questionnaire survey was conducted by 70 firms that have and use concrete pumps. A solution of the problem was then found in the light of the real world data by means of ELECTRE III. The paper can be of value to researchers studying the anatomy of decision‐making in equipment selection in general and investigating selection criteria of concrete pumps in particular. It also contributes to the academic environment as an application practice of ELECTRE III to correspond with the nature of equipment selection and as an effective means for the formalization of knowledge possessed by industrial practitioners. On the practical side, ELECTRE III offers an efficient and convenient tool that forces the users into orderly and methodical thinking, and guides them in making logical and robust decisions. In addition, the example illustrated in the present study can be helpful for decision‐makers dealing with similar equipment selection issues. Santrauka Šio tyrimo ELECTRE III metodas – vienas dažniausiai taikomų metodų iš daugiatikslių sprendimo priėmimo metodų – buvo pritaikytas betono siurblių parinkimo uždaviniui spręsti. 70 įmonių buvo apklaustos dviem etapais. Tuomet buvo išspręstas realus uždavinys realiais duomenimis, taikant ELECTRE III metodą. Straipsnis gali būti naudingas tyrėjams, nagrinėjantiems įrenginių parinkimo uždavinių prigimtį ir esmę. Šis straipsnis turi akademinę ir praktinę vertę, nes išreiškia efektyvių sprendimų priėmimo proceso esmę ir pateikia tvirtą sprendimo priėmimo pagrindą. Pateiktas praktinio uždavinio sprendimas yra gera metodinė priemonė parenkant statybinius mechanizmus.


Informatica ◽  
2020 ◽  
pp. 331-357 ◽  
Author(s):  
Amin Mahmoudi ◽  
Xiaomei Mi ◽  
Huchang Liao ◽  
Mohammad Reza Feylizadeh ◽  
Zenonas Turskis

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.


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