104 research outputs found

    Characterisation of the consistent completion of AHP comparison matrices using graph theory

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    [EN] Decision-making is frequently affected by uncertainty and/or incomplete information, which turn decision-making into a complex task. It is often the case that some of the actors involved in decision-making are not sufficiently familiar with all of the issues to make the appropriate decisions. In this paper, we are concerned about missing information. Specifically, we deal with the problem of consistently completing an analytic hierarchy process comparison matrix and make use of graph theory to characterize such a completion. The characterization includes the degree of freedom of the set of solutions and a linear manifold and, in particular, characterizes the uniqueness of the solution, a result already known in the literature, for which we provide a completely independent proof. Additionally, in the case of nonuniqueness, we reduce the problem to the solution of nonsingular linear systems. In addition to obtaining the priority vector, our investigation also focuses on building the complete pairwise comparison matrix, a crucial step in the necessary process (between synthetic consistency and personal judgement) with the experts. The performance of the obtained results is confirmed.Benítez López, J.; Carpitella, S.; Certa, A.; Izquierdo Sebastián, J. (2019). Characterisation of the consistent completion of AHP comparison matrices using graph theory. Journal of Multi-Criteria Decision Analysis. 26(1-2):3-15. https://doi.org/10.1002/mcda.1652S315261-2Benítez, J., Carrión, L., Izquierdo, J., & Pérez-García, R. (2014). Characterization of Consistent Completion of Reciprocal Comparison Matrices. Abstract and Applied Analysis, 2014, 1-12. doi:10.1155/2014/349729Benítez, J., Delgado-Galván, X., Gutiérrez, J. A., & Izquierdo, J. (2011). Balancing consistency and expert judgment in AHP. 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    Comparative analysis of MCDM methods for the assessment of sustainable housing affordability

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    While affordability is traditionally assessed in economic terms, this paper tests a new assessment method that draws closer links with sustainability by considering economic, social and environmental criteria that impact on a household's quality of life. The paper presents an empirical application and comparison of six different multiple criteria decision making (MCDM) approaches for the purpose of assessing sustainable housing affordability.The comparative performance of the weighted product model (WPM), the weighted sum model (WSM), the revised AHP, TOPSIS and COPRAS, is investigated. The purpose of the comparative analysis is to determine how different MCDM methods compare when used for a sustainable housing affordability assessment model. 20 Evaluative criteria and 10 alternative are as in Liverpool, England, were considered. The applicability of different MCDM methods for the focused decision problem was investigated. The paper discusses the similarities in MCDM methods, evaluates their robustness and contrasts the resulting rankings

    Joint stakeholder decision-making on the management of the Silao-Romita aquifer using AHP

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    Over-exploitation and pollution have been identified as the main problems facing the Silao-Romita aquifer in Guanajuato, Mexico. The objective of this paper is to analyze the current situation, characterized by a clear lack of legislative enforcement, dispersion of competences, and scarcity of economic resources, in order to establish a new prioritization of action plans, and choose from among three specific management options. One of the main challenges when addressing these problems in a holistic manner is the conflicting viewpoints of the sectors involved. As each stakeholder has a different perception, there is a clear need for appropriate mechanisms to reach a consensus in decision-making. To achieve the objective, we use the Analytic Hierarchy Process (AHP), because of its flexibility and the availability of mathematical axiomatic principles and techniques to obtain group preferences and priorities. In addition, we use several tools developed by the authors to obtain consistency, streamline the trade-off between stakeholder know-how and synthetic consistency, and consistently complete partial judgments given by some of the stakeholders. The problem of obtaining a consensus among the actors involved regarding criteria and alternatives is also considered. The obtained results are intended to serve as guidelines for conducting priority actions to help solve the general problem of the study area, and to identify the management model that best meets the needs of the aquifer, according to the actors involved. (C) 2013 Elsevier Ltd. All rights reserved.This work has been supported by project IDAWAS, DPI2009-11591 of the Spanish Ministry of Science and Innovation; with supplementary support from ACOMP/2011/188 of the education department of the Generalitat Valenciana. The first author wishes to thank CONACYT for the 10007-2011-01 scholarship program. The use of English in this paper was revised by John Rawlins.Delgado Galván, XV.; Izquierdo Sebastián, J.; Benítez López, J.; Pérez García, R. (2014). Joint stakeholder decision-making on the management of the Silao-Romita aquifer using AHP. Environmental Modelling & Software. 51:310-322. https://doi.org/10.1016/j.envsoft.2013.10.008S3103225

    A mixed-data evaluation in group TOPSIS with differentiated decision power

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    [[abstract]]This main objective of this paper is to provide decision support for mixed data in group Technique for Order Preference by Similarity to Idea Solution (TOPSIS) with differentiated decision power. We use a signum function to compare the ordinal performance of alternatives on any qualitative criterion, or the partial information provided by decision makers. The proposed process for ordinal information is uniformly coherent with the traditional TOPSIS steps, preserving the characteristic of distance-based utilities. Ordinal weights are also considered herein, and the decision power of the group members is formulated by their weights under an agreement in the group. Two examples demonstrate that the proposed approach has some benefits and achieves robustness with two types of sensitivity analyses. Some discussions and their limitations to the approach are also provided.[[notice]]補正完

    Le Nord-Est marocain : espoirs et réalités d'une région excentrée

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    Physical and human criteria allow the demarcation of the North-East (6% of Morocco's population and 2.2% of its area). Economically marginal and under-equipped and socially, the North-East border and eccentric to the central region (Casablanca-Rabat). Its own potential is insufficient, maintaining the balance between population and resources requires the use of emigration to Europe and smuggling Melilla and Algeria, where extroversion that emphasizes the dependence the region. The North East is heterogeneous with respect to internal wealth disparities and communications infrastructure. The urban network is articulated around eccentric pole staking major roads where an incomplete internal polarization. This is a potential regional spaced hinge area within Greater Maghreb.Des critères physiques et humains permettent la délimitation de la région du Nord-Est (6% de la population du Maroc et 2,2% de sa superficie). Marginal et sous-équipé économiquement et socialement, le Nord-Est est frontalier et excentré par rapport à la région Centre (Casablanca-Rabat). Ses potentialités propres s'avèrent insuffisantes, le maintien de l'équilibre entre population et ressources exige le recours à l'émigration vers l'Europe et à la contrebande avec Melilla et l'Algérie, d'où une extraversion qui accentue la dépendance de la région. Le Nord-Est est hétérogène: disparités internes quant aux richesses et à l'infrastructure des communications. Le réseau urbain est articulé autour de pôles excentrés jalonnant les axes routiers majeurs d'où une polarisation interne incomplète. Cet espacé régional est une zone charnière potentielle au sein du Grand Maghreb

    Automated learning multi-criteria classifiers for FLIR ship imagery classification

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    Abstract- This paper proposes an Automated Learning Method (ALM) based on Real-Coded Genetic Algorithm (RCGA) to infer the Multi-Criteria Classifiers (MCC) parameters. The Multi-Criteria Classifiers (or Multi-Criteria Classification Methods) considered are based on concordance and discordance concepts. A military database of 2545 Forward Looking Infra-Red (FLIR) images representing eight different classes of ships is therefore used to test the performance of these classifiers. The empirical results of MCC are compared with those obtained by other classifiers (e.g. Bayes and Dempster–Shafer classifiers). In this paper, we show the benefits of cross-fertilization of multi-criteria classifiers and information fusion algorithms
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