A priori incorporation of the decision maker’s preferences is a crucial issue in many-objective evolutionary optimization. Some approaches characterize the best compromise solution of this problem through fuzzy outranking relations; however, they require the elicitation of a large number of parameters (weights and different thresholds). This paper proposes a novel metaheuristic...
Rangel-Valdez; [email protected] Received 6 February 2019; Revised 3 June 2019; Accepted 1 July 2019; Published 22 July 2019 Guest Editor: Danielle Morais Copyright © 2019 Eduardo Fernandez ... Technology, 89440 Tamaulipas, Mexico 3CONACYT-Research Fellow, National Mexican Institute of Technology/Madero Institute of Technology, 89440 Tamaulipas, Mexico Correspondence should be addressed to Nelson
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task that becomes even harder if the information available is limited. This paper addresses a particular case of project portfolio selection; in this case, the measures of project impacts are not assumed, and the available information is only projects’ ranking and costs. Usually, resource...
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task that becomes even harder if the information available is limited. This paper addresses a particular case of project portfolio selection; in this case, the measures of project impacts are not assumed, and the available information is only projects’ ranking and costs. Usually, resource...
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task that becomes even harder if the information available is limited. This paper addresses a particular case of project portfolio selection; in this case, the measures of project impacts are not assumed, and the available information is only projects’ ranking and costs. Usually, resource...
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task that becomes even harder if the information available is limited. This paper addresses a particular case of project portfolio selection; in this case, the measures of project impacts are not assumed, and the available information is only projects’ ranking and costs. Usually, resource...
Technological and Economic Development of Economy INFERRING PARAMETERS OF A RELATIONAL SYSTEM OF PREFERENCES FROM ASSIGNMENT EXAMPLES USING AN EVOLUTIONARY ALGORITHM Eduardo FERNANDEZ 0 3 Nelson
not been published nor simultaneously submitted elsewhere, and c) we have acknowledged all entities that have funded this work in any way. Formal analysis: Jose Torres-Jimenez, Nelson Rangel-Valdez. 41 ... / 44 Writing ± original draft: Jose Torres-Jimenez, Himer Avila-George, Oscar Carrizalez Turrubiates. Writing ± review & editing: Jose Torres-Jimenez, Nelson Rangel-Valdez, Himer Avila George
The Curriculum-Based Course Timetabling (CB-CTT) problem involves the task of scheduling lectures of courses to classrooms, considering teacher availability, a specified curricula, and a set of constraints. In the Polytechnic University of Victoria (PUV), Mexico, the CB-CTT problem occurs with the additional constraints that the courses must be assigned to teachers and that a...
be addressed to Nelson Rangel-Valdez; xm.tycanoc@avlegnarn Received 20 June 2017; Revised 19 November 2017; Accepted 10 December 2017; Published 3 January 2018 Academic Editor: Danielle Morais ... Copyright © 2018 Nelson Rangel-Valdez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any
One of the main concerns in Multicriteria Decision Aid (MCDA) is robustness analysis. Some of the most important approaches to model decision maker preferences are based on fuzzy outranking models whose parameters (e.g., weights and veto thresholds) must be elicited. The so-called preference-disaggregation analysis (PDA) has been successfully carried out by means of...
be addressed to Nelson Rangel-Valdez; xm.tycanoc@avlegnarn Received 20 June 2017; Revised 19 November 2017; Accepted 10 December 2017; Published 3 January 2018 Academic Editor: Danielle Morais ... Copyright © 2018 Nelson Rangel-Valdez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any
