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Determining objective weights in multiple criteria problems: the critic method

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TLDR
A method for the determination of objective weights which is based on the quantification of two fundamental notions of MCDM: the contrast intensity and the conflicting character of the evaluation criteria is proposed.
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This article is published in Computers & Operations Research.The article was published on 1995-08-01. It has received 1288 citations till now. The article focuses on the topics: Multiple-criteria decision analysis & Decision theory.

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Citations
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Inter-company comparison using modified TOPSIS with objective weights

TL;DR: An effective approach based on the concept used by the technique for order preference by similarity to ideal solution (TOPSIS) is developed to rank competing companies in terms of their overall performance on multiple financial ratios to ensure that the evaluation result is not affected by the inter-dependency of criteria and inconsistency of subjective weights.
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A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)

TL;DR: 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.
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Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making

TL;DR: A correlation coefficient (CC) and standard deviation (SD) integrated approach for determining the weights of attributes in multiple attribute decision making (MADM) and a global sensitivity analysis to the weights determined are proposed to ensure the stability of the best decision alternative or alternative ranking.
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A comprehensive VIKOR method for material selection

TL;DR: In this article, a new version of VIKOR method, which covers all types of criteria with emphasize on compromise solution, is proposed in this paper, which can enhance exactness of material selection results in different applications.
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Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule

TL;DR: A strongly robust method to solve multiexperts multicriteria decision making problems with linguistic evaluations, MULTIMOORA, is proposed by integrating the subjective opinions with the correlation coefficients between criteria and enhanced by the improved Borda rule.
References
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Journal ArticleDOI

Interactive approach for multi-criterion optimization, with an application to the operation of an academic department.

TL;DR: An interactive mathematical programming approach to multi-criterion optimization is developed, and then illustrated by an application to the aggregated operating problem of an academic department.
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Issues in developing a performance criteria system for an organization

TL;DR: In this article, the authors discuss the issues mentioned above with an emphasis on operational performance criteria such as time per unit and percent of defects, and evaluate three different techniques for assigning relative importance of performance criteria.
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Weight stability intervals in multicriteria decision aid

TL;DR: Three aspects of stability are discussed and it is proposed to construct stability intervals for the weights of either single criteria or groups of criteria to improve the stability of a wide class of MCDA methods.
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Some remarks on the notion of compensation in MCDM

TL;DR: General definitions of compensation and noncompensation in MCDM within the framework of Multiattributable Preference Structure are presented and it is shown that they contain most currently used aggregation procedures as particular cases.
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On the problem of weights in multiple criteria decision making (the noncompensatory approach)

TL;DR: In this paper, the relative importance of attributes is defined within the framework of the noncompensatory approach to multiple criteria decision making, and the problem of weights then appears as a problem of functional representation of relations.