In this paper, a new multi-criteria problem solving method—the Full Consistency Method (FUCOM)—is proposed. The model implies the definition of two groups of constraints that need to satisfy the optimal values of weight coefficients. The first group of constraints is the condition that the relations of the weight coefficients of criteria should be equal to the comparative priorities of the criteria. The second group of constraints is defined on the basis of the conditions of mathematical transitivity. After defining the constraints and solving the model, in addition to optimal weight values, a deviation from full consistency (DFC) is obtained. The degree of DFC is the deviation value of the obtained weight coefficients from the estimated comparative priorities of the criteria. In addition, DFC is also the reliability confirmation of the obtained weights of criteria. In order to illustrate the proposed model and evaluate its performance, FUCOM was tested on several numerical examples from the literature. The model validation was performed by comparing it with the other subjective models (the Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)), based on the pairwise comparisons of the criteria and the validation of the results by using DFC. The results show that FUCOM provides better results than the BWM and AHP methods, when the relation between consistency and the required number of the comparisons of the criteria are taken into consideration. The main advantages of FUCOM in relation to the existing multi-criteria decision-making (MCDM) methods are as follows: (1) a significantly smaller number of pairwise comparisons (only n − 1), (2) a consistent pairwise comparison of criteria, and (3) the calculation of the reliable values of criteria weight coefficients, which contribute to rational judgment.

https://www.mdpi.com/2073-8994/10/9/393/pdf

A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)

An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey

The Multiple Criteria Decision Making (MCDM) utility determining approaches and fuzzy sets are considered to be new development approaches, which have been recently presented, extended, and used by some scholars in area of decision making. There is a lack of research regarding to systematic literature review and classification of study about these approaches. Therefore; in the present study, the attempt is made to present a systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including Step-wise Weight Assessment Ratio Analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) and fuzzy extensions which discussed in recent years. Regarding this, some major databases including Web of Science, Scopus and Google Scholar have been nominated and systematic and meta-analysis method which called “PRISMA” has been proposed. In addition, the selected articles were classified based on authors, the year of publication, journals and conferences names, the technique and method used, research objectives, research gap and problem, solution and modeling, and finally results and findings. The results of this study can assist decision-makers in handling information such as stakeholders’ preferences, interconnected or contradictory criteria and uncertain environments. In addition, findings of this study help to practitioners and academic for adopting the new MCDM utility techniques such as WASPAS and SWARA in different application areas and presenting insight into literature.

A Systematic Review and Meta-Analysis of Swara and Waspas Methods: Theory and Applications with Recent Fuzzy Developments

Multi-Objective Optimization takes care of different objectives with the objectives keeping their own units. The internal mechanical solution of a Ratio System, producing dimensionless numbers, is preferred. The ratio system creates the opportunity to use a second approach: a Reference Point Theory, which uses the ratios of the ratio system. This overall theory is called MOORA (Multi-Objective Optimization by Ratio Analysis). The results are still more convincing if a Full Multiplicative Form is added forming MULTIMOORA. The control by three different approaches forms a guaranty for a solution being as non-subjective as possible. MULTIMOORA, tested after robustness, showed positive results.

Robustness of MULTIMOORA : a method for multi-objective optimization

An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges

A decision making process requires the values of conflicting objectives for alternatives and the selection of the best alternative according to the needs of decision makers. Multi-objective optimization methods may provide solution for this selection. In this paper it is aimed to present the laptop selection problem based on MOORA plus full multiplicative form (MULTIMOORA) and multi-objective optimization on the basis of simple ratio analysis (MOOSRA) which are relatively new multi-objective optimization methods. The novelty of this paper is solving this problem with the MULTIMOORA and MOOSRA methods for the first time.

/pdf/the-multi-objective-decision-making-methods-based-on-2asum6h4cy.pdf

The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem

Nowadays companies should respond and satisfy the customer needs effectively and quickly to establish a position in the competitive market One of the ways of achieving these goals is the outsourcing their some manufacturing operations to contract manufacturers Outsourcing manufacturing operation to contract manufacturers decreases the operational cost, increases the profit and provides the flexibility of production capability So the selecting a contract manufacturer for a company is an important problem that must be dealt very carefully This selection is influenced by quantitative and qualitative criteria and it is handled as Multi Criteria Decision Making (MCDM) problem In this paper, CRITIC (CRiteria Importance Through Intercriteria Correlation) and MAUT (Multi Attribute Utility Theory) methods are applied to the contract manufacturer selection problem The weights of the contract manufacturer selection criteria are derived from CRITIC method whereas the complete ranking of the contract manufacturer alternatives are obtained by using MAUT Finally the results are discussed

Critic and Maut Methods for the Contract Manufacturer Selection Problem

Article history: Received October 25, 2015 Received in revised format: December 12, 2015 Accepted February 14, 2016 Available online Februray 14 2016 The selection of air compressor is a Multiple Criteria Decision Making (MCDM) problem including conflicting criteria and various alternatives. Selecting the appropriate air compressor is an important decision for the company as it affects the energy consumption and operating cost. To aid the decision making process in the companies, MCDM methods are proposed in the literature. In all MCDM methods, the main goal is to select the best alternative or to rank a set of given alternatives. In this paper, the air compressor is selected for a spinning mill of a textile company with an integrated approach based on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation TecHnique) and COPRAS (COmplex PRoportional ASsessment) methods. MACBETH method is utilized to determine the weights of the criteria. Then COPRAS method is used to determine the ranking of the alternatives and select the best one. Growing Science Ltd. All rights reserved. 6 © 201

/pdf/integration-of-macbeth-and-copras-methods-to-select-air-bp3b0rnk8i.pdf

Integration of MACBETH and COPRAS methods to select air compressor for a textile company

Tedarikcilerin secimi ve secilen tedarikciler ile surdurulebilir iliskiler kurulmasi, rekabet avantaji yakalamanin onemli girdilerden biridir. Isletmeler kendi belirleyecegi, rekabet ve satin alma stratejilerine uygun kriterlerle tedarikci secimi yapabilirler. Ancak bu, cok kolay bir is degildir. Cunku tedarikcilerin secilmesinde goz onune alinmasi gereken birden fazla kriter soz konusudur ve piyasada cok sayida tedarikci olup bu secim, hem nicel hem de nitel kriterlerden etkilenmektedir. Dolayisiyla bir isletme icin tedarikci secimi, bir CKKV (Cok Kriterli Karar Verme) problemi olarak ele alinabilmektedir. Bu calismada, tedarikci secim problemini cozmek icin SWARA ( S tep-wise W eight A ssessment R atio A nalysis - Kademeli Agirlik Degerlendirme Oran Analizi) ve WASPAS ( W eighted A ggregated S um P roduct AS sessment - Agirliklandirilmis Butunlesik Toplam Carpim Degerlendirmesi) yontemlerine dayanan butunlesik bir karar verme yaklasimi anlatilmistir. Kriter agirliklarinin belirlenmesinde SWARA yontemi, alternatiflerin siralamasini belirlemek ve en iyi tedarikciyi secmek icin ise WASPAS yontemi kullanilmistir.

/pdf/bir-tedarikci-secim-problemi-icin-swara-ve-waspas-dl5x3nr75i.pdf

Bi̇r tedari̇kçi̇ seçi̇m problemi̇ i̇çi̇n swara ve waspas yöntemleri̇ne dayanan karar verme yaklaşimi

Apple juice concentrate is the second consumed fruit juice all around the world, behind the orange juice concentrate. The characteristics of the apple juice concentrate namely the acidity level and the sweetness of the processed product vary depending on the variety of the apple. So the selection of the most appropriate apple among the alternatives in the fresh market is not easy task for food companies. This selection may be handled as Multi Criteria Decision Making (MCDM) problem. This paper presents the new decision making approach based on two MCDM methods, Entropy and ROV (Range of Value), for the apple selection problem of a food company that produces apple juice concentrate. Entropy method determines the weights of the criteria whereas ROV method ranks the alternatives. The invention of this paper is Entropy and ROV are combined firstly in the literature.

Ayşegül Tuş Işik

Papers

The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem

Critic and Maut Methods for the Contract Manufacturer Selection Problem

Integration of MACBETH and COPRAS methods to select air compressor for a textile company

Bi̇r tedari̇kçi̇ seçi̇m problemi̇ i̇çi̇n swara ve waspas yöntemleri̇ne dayanan karar verme yaklaşimi

The Decision-Making Approach Based on the Combination of Entropy and Rov Methods for the Apple Selection Problem