Multicriterion Decision in Practice

Pomerol, Jean‐Charles; Barba-Romero, Sergio

doi:10.1007/978-1-4615-4459-3_11

Cited by 148 publications

(178 citation statements)

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“…Most of the techniques employed in the above studies require prior information of the criteria, in addition to numerous parameters for taking a decision. A detailed description of MCDM methods is available in Pomerol and Romero (2000).…”

Section: Introductionmentioning

confidence: 99%

Ranking Irrigation Planning Alternatives Using Data Envelopment Analysis

Raju

Kumar

2006

Water Resour Manage

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Abstract. Application of Data Envelopment Analysis (DEA) as a Multicriterion Decision Making(MCDM) methodology is tested for Sri Ram Sagar Project, Andhra Pradesh, India to select the suitable irrigation planning alternative. Three different criterion functions of DEA, namely minimizing deviation variable D j (Min D j ), minimizing maximum deviation (Minmax), and minimizing the sum of deviations D j (Minsum) are applied for the same DEA constraint set. These criterion functions are evaluated under the framework of Multi Objective Linear Programming (MOLP). Highest efficiency rated irrigation planning alternative is chosen to be the best for each of the above criterion functions. The results are compared with those obtained by discrete MCDM methods, PROMETHEE and EXPROM. It is found that ranks obtained by DEA are reasonably close to those obtained by the above mentioned MCDM methods, PROMETHEE and EXPROM.

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Section: Introductionmentioning

confidence: 99%

Ranking Irrigation Planning Alternatives Using Data Envelopment Analysis

Raju

Kumar

2006

Water Resour Manage

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“…In cases where a substantial set of variables involved and there is the need to prioritize decision-making units based on their relative importance, utilization of various people ideas associated with the use of group decision making techniques and multiple attribute tools for ranking and making better decisions can be helpful (Pomerol & Romero, 2000). …”

Section: Risk Management Processesmentioning

confidence: 99%

A hybrid approach based on ANP, ELECTRE and SIMANP metaheuristic method for outsourcing manufacturing procedures according to supply chain risks - Case study: A medical equipment manufacturer company in Iran

Farughi¹,

Mostafayi²

2017

10.5267/j.dsl

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Nowadays enterprises should consider seeking to reduce the supply chain risks as a crucial part of their activities in order to improve their competitiveness in the international context. Choosing the suitable strategy in connection with assigning some parts of the production process to outside the organization is a complex multi-criteria decision making problem and it gets more complicated when supply chain risk factors as the factors to select the strategy as well as dependence and the close ties between these criteria also be considered. In this paper, after the identification of risks in the supply chain of a medical equipment manufacturer company, dependence and ties between criteria in line with choosing the best strategy among existing alternatives has been examined in the form of a combined ANP-ELECTRE method. This combined model has high performance to give a solution to the problem considered in this paper. Because of the complexity and time consuming nature of the AHP and ELECTRE, in this study a metaheuristic algorithm is developed called SIMANP that despite the simplicity of computing and high-speed, is good in the terms of precision and efficiency. The results of comparing SIMANP algorithm and the proposed ANP -ELECTRE method are presented at the end of the paper.Growing Science Ltd. All rights reserved. 7

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“…Ben Amor, Jabeur & Martel [42] support them by stating that conciliating the results of the pair comparisons according to the criteria could be difficult due to the heterogeneity of the measurement scales and the natures of the evaluations. Another problem appears when the differences between the alternatives are inherently close together or when the number of alternatives increases [43]. Cabello et al [44] observe that from a strictly mathematical point of view, all efficient solutions of a MCDM problem are equally optimal.…”

Section: Multicriteria Decision-makingmentioning

confidence: 99%

“…Varmazyar, Dehghanbaghi & Afkhami [45] propose to apply a combination of various MCDM methods as a way to enhance the precision of the final decision. In such cases, the most common aggregation procedure is a simple averaging function, although Pomerol & Barba-Romero [43] suggest employing Borda and Copeland rules. Whereas Borda selects highest valued alternatives, Copeland ranks them as the result of the number of pairwise victories minus the number of pairwise defeats between the alternatives [45].…”

Section: Multicriteria Decision-makingmentioning

confidence: 99%

Encompassing the Work-Life Balance into Early Career Decision-Making of Future Employees Through the Analytic Hierarchy Process

Gawlik

2017

Advances in Intelligent Systems and Computing

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Multicriterion Decision in Practice

Cited by 148 publications

References 0 publications

Ranking Irrigation Planning Alternatives Using Data Envelopment Analysis

Ranking Irrigation Planning Alternatives Using Data Envelopment Analysis

A hybrid approach based on ANP, ELECTRE and SIMANP metaheuristic method for outsourcing manufacturing procedures according to supply chain risks - Case study: A medical equipment manufacturer company in Iran

Encompassing the Work-Life Balance into Early Career Decision-Making of Future Employees Through the Analytic Hierarchy Process

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