Application of Fuzzy MOORA and GRA in Multi-criterion Decision Making Problems

Archana, M.; Sujatha, V.

doi:10.5120/8452-2249

Cited by 21 publications

(6 citation statements)

References 7 publications

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“…Although MOORA is a relatively new method it has been applied to different areas in the literature. For example, MOORA method is used for privatization in a transition economy [22], determining the ranking of contractor firms [23], road design [24], evaluation of inner climate [25], regional development studies [26,27], project management [28], parametric optimization of milling process [29], the selection of optimal network [30], determining the critical path in project management [31], determining the popularity of touristic places [32], supply chain strategy selection [33], selecting the best intelligent manufacturing system [34], personnel selection [35,36], bank branch location selection [37], ranking cloud storage technology firms [38].…”

Section: Moora Methodsmentioning

confidence: 99%

Combined Multi-Criteria Decision Making Approach Based On Macbeth And Multi-MOORA Methods

Kundakcı¹

2016

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Various Multi-Criteria Decision Making (MCDM) methods have been developed to support decision making process. The main aim of all MCDM methods is to obtain ranking of the alternatives and select the best one under conflicting criteria. In this paper, a combined MCDM approach is proposed based on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation TecHnique) and MULTI-MOORA (Multi Objective Optimization on the basis of Ratio Analysis) methods. In this combined approach, the weights of the criteria are determined with MACBETH method and then MULTI-MOORA method is used to obtain the final ranking of the alternatives. At the end of the paper, to illustrate the applicability of the proposed approach an application of the automobile selection of a marble company is also given.

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Section: Moora Methodsmentioning

confidence: 99%

Combined Multi-Criteria Decision Making Approach Based On Macbeth And Multi-MOORA Methods

Kundakcı¹

2016

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“…-GRA (Grey Relation Analysis) (e.g., Archana & Sujatha, 2012), It evaluates the effectiveness of alternatives in two groups with respect to ideal and anti-ideal objects. The sequence of calculations is as follows:…”

Section: Aggregation Models Of Attributesmentioning

confidence: 99%

On the conformity of scales of multidimensional normalization: An application for the problems of decision making

Mukhametzyanov

2023

Decis. Mak. Appl. Manag. Eng.

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The main goal of this paper is to harmonize the scales of normalized values of various attributes for multi-criteria decision-making models (MCDM). A class of models is considered in which the ranking of alternatives is performed based on the performance indicators of alternatives obtained by aggregating private attributes. The displacement of the domains of the normalized values of various attributes relative to each other and the local priorities of the alternatives are the main factors that change the rating when using various normalization methods. Three different linear transformations are proposed, which make it possible to bring the scales of normalized values of various attributes into conformity. The first transformation, the Reverse Sorting (ReS) algorithm, inverts the direction of optimization without displacing the areas of normalized values. The second transformation ‒ IZ-method ‒ allows researchers to align the boundaries of the domains of normalized values of various attributes in each range. The third transformation ‒ MS-method ‒ converts Z-scores into a sub-domain of the interval [0, 1] with the same mean values and the same variance values for all attributes. All transformations preserve the dispositions of the natural values of the attributes of the alternatives and ensure the equality of the contributions of various criteria to the performance indicator of the alternatives. The ReS-algorithm is universal for all normalization methods when converting cost attributes to benefit attributes. IZ and MS transformations expand the range of normalization methods when using nonlinear functions aggregation of attributes.

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“…Additionally, Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods and other multi-criteria decision methods are used in several studies conducted for selection of companies or products with some scientific methods. Such methods are applied on various subjects regarding the cutting-machine selection, ERP system selection, optimal network system selection, personnel selection, supply chain strategy selection, selection of the best intelligent manufacturing system and ranking different farming operations efficiency, alliance planning and partners selection and industrial engineering sector selection (Balezentis 2011;Karande, Chakraborty 2012;Archana, Sujatha 2012;Balezentis et al 2012;Dey et al 2012;Mandal, Sarkar 2012;Vatansever, Kazançoğlu 2014;Akhavan et al 2015;Akkaya et al 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Intelligent System for Construction Industry: A Case Study of Raised Floor Material

İlçe

Özkaya

2018

Technological and Economic Development of Economy

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This paper aims to introduce a quantitative method to builders for the most appropriate material selections based on multiple attributes and integrate decision group member opinions throughout bidding process. In this respect, a new model used together with the Analytic Hierarchy Process (AHP) and fuzzy Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA), multi-criteria decision methods are proposed. In a real decision process, there are many uncertainties and ambiguities. In fact decision makers cannot always provide practical guidelines and especially precise judgments due to time limitations. The intelligent model proposed demonstrates that the AHP and fuzzy MOORA approach can not only be used easily to imitate the decision duration in the material selection but also the results obtained from this work provide contractors valuable insight into the material selection problem. At the same time, the quantitative analysis method based on the appropriately raised floor materials along the bidding process enables the builders to use their restricted resources more expeditiously and enhances considerably the possibility of winning agreement, as one of the most striking points deduced from the present study. In short, the model with AHP and fuzzy MOORA approaches can assist the builders to improve resolutions for the bidding.

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Application of Fuzzy MOORA and GRA in Multi-criterion Decision Making Problems

Cited by 21 publications

References 7 publications

Combined Multi-Criteria Decision Making Approach Based On Macbeth And Multi-MOORA Methods

Combined Multi-Criteria Decision Making Approach Based On Macbeth And Multi-MOORA Methods

On the conformity of scales of multidimensional normalization: An application for the problems of decision making

An Integrated Intelligent System for Construction Industry: A Case Study of Raised Floor Material

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