International Journal of Multicriteria Decision Making (7 papers in press)
Environmental performance evaluation in the context of ISO 14031 using a fuzzy multiple criteria approach
by Evangelos Grigoroudis
Abstract: An important tool for the evaluation and documentation of a successful environmental management system is the Environmental Performance Evaluation (EPE). EPE is generally defined as a continuous internal process and management tool that using indicators evaluates the environmental management system of an organization and compares past and present performance. Relevant international standards such as ISO 14031-14032 describe the categories of performance indicators; however they do not determine a specific framework for the development, measurement and evaluation of these indicators. The main aim of this study is to present an EPE methodology based on the fuzzy UTASTAR method. Fuzzy UTASTAR is an extension of the well-known UTASTAR method capable to handle both ordinary (crisp) and fuzzy evaluation data. To demonstrate the application of the methodology, a case study is presented, where fuzzy UTASTAR is used in the frame of the EPE of a mills industry.
Keywords: Fuzzy UTASTAR; Environmental Performance Evaluation; Environmental Performance Indicators; Environmental Management Systems.
Performance of Multicriteria Decision Making Methods: Study and cases
by Zhor CHERGUI, Moncef Abbas
Abstract: In this paper, the problematic of MCDM methods evaluation is treated, we study in particular the behavior of the criteria (tests) measuring the performance of these methods. Indeed, a critical study toward the series of tests proposed by Triantaphyllou is carried out. On this basis, some impossibility results are defined. In addition, a new assessment test is proposed.
Keywords: MCDM methods; Performance evaluation; Preference modelling; Multicriteria analysis; Series of tests; Independence property; Transitivity property.
Fuzzy Decision Support System for Evaluation and Prioritization of Critical Success Factors for the Development of Agricultural DSS
by Shabir Mir, T. Pamda
Abstract: Overwhelmingly, surveys of agricultural DSSs (agDSSs) have revealed a general lack of support which could influence actual practice. Reasons behind DSS rejection were multiple. Accordingly, various strategies and approaches were proposed for their uptake. But developers often use their own criteria, priorities, and strategies during various developmental phases, mainly due to complex and vague nature of interactions between multiple factors describing DSS viz-a-viz, non-availability of critical success factors and their characterization. Multi-Criteria Decision Making (MCDM) methods are widely used under these circumstances to facilitate systematic and lucid decision support, chalk out multiple decision outcomes and equip decision maker with confident decision choices to lead the process to its coherent ending. This research proposes a Fuzzy decision support system to evaluate and prioritize critical success factors for the development of agricultural DSSs and provides an estimate of weightings, which measure the relative importance of these factors under generic multi-criteria settings. The results envisage that the proposed system supplements agDSS developers with more precise key decision support information.
Keywords: Decision Support Systems; Fuzzy Analytic Hierarchy Processing; Multiple Criteria Decision Making; Critical Success Factors; Evaluation and Prioritization.
An extension of PROMETHEE II to temporal evaluations
by Issam Banamar, Yves De Smet
Abstract: Conventional PROMETHEE methods help decision makers to manage problems without considering temporal evaluations. The aim of this paper is to introduce a temporal extension of PROMETHEE II. A new approach to set the dynamic thresholds is introduced. The weighted arithmetic mean is used to aggregate net flow scores over time. In addition, an interactive query method is developed in order to determine decision maker's instances importance. Simulation results are used to show the effectiveness of this approach in terms of convergence and speed. Finally, an example is given to illustrate the model.
Keywords: Multicriteria decision aid; temporal evaluations; outranking methods; PROMETHEE; GAIA.
Interactive Decision Making with Fuzzy Goals for Simple Recourse in Multiobjective Stochastic Programming Problems
by Hitoshi Yano, Ichiro Nishizaki, Rongrong Zhang
Abstract: In this paper, we focus on multiobjective stochastic programming problems, and propose two interactive fuzzy decision making methods to obtain a satisfactory solution of a decision maker. In the proposed methods, equality constraints with random variables are formulated on the basis of the two-stage programming method,
in which two kinds of random variables, i.e., continuous ones and discrete ones,
are considered, respectively. Under the assumption that the decision maker has fuzzy goals not only for the original objective functions but also for the expectations of shortages and excesses for the violation of the equality constraints, the Pareto optimality concept is introduced, and two interactive fuzzy decision making methods are proposed to obtain a satisfactory solution from among an Pareto optimal solution set. The proposed method is applied to a farm planning problem in the Philippines,
in which it is assumed that an amount supplied of water resource in dry season is represented as a continuous or discrete random variable.
Keywords: multiobjective programming; simple recourse programming; satisfactory solution; interactive decision making; permissible levels.
Special Issue on: Multiple Criteria Decision Aid Advances in Theory and Applications
A multicriteria analysis to assess the pollution in the southern coastal area of Sfax
by Zaher Drira, Mohamed Ayman Boujelben, Habib Ayadi
Abstract: The coastal marine area of Sfax (Tunisia) is a well-known zone by its high productivity and fisheries. However, it is threatened by a variety of pollution sources contributing to a degradation of the water quality. In this paper, a study involving 20 stations and 23 physico-chemical and biogeochemical parameters is proposed. Due to the multicriteria nature of the problem, De Smet et al.’s method is used to assess the pollution level in this coastal area. The application of this approach leads to 3 groups of stations representing low, average and high pollution levels. The results show that PO43-, BOD5, COD, Mn2+, Cl- and SO42- are the main factors of the high pollution level. In addition, they reveal that the SIAPE discharges and the phosphogypsum wastes are the main source of PO43-, Cl- and SO42- which explain the high COD. Thus, an urgent action leading to stop the loading of these industrial wastes into the sea is a necessity in order to reduce the pollution and to avoid its propagation.
Keywords: Southern coast of Sfax; Anthropogenic inputs; Pollution assessment; Multicriteria clustering; De Smet et al.’s method.
Combining the PROMETHEE method and mathematical programming for multi-objective facility location problem
by Mohamed Ali Elleuch
Abstract: The decision making concerning where to locate new facilities is crucial in
designing distribution networks. In the present study, the supply chain concept and the multi-objective facility location problem were studied. We integrated also Multi-Criteria Decision Analysis (MCDA) and Linear Programming Model (LPM) methods to support selection of best sites according many objectives. In addition, facility location decision involves both qualitative and quantitative criteria. In order to select the best location, it is often necessary to compromise possibly conflicting tangible and intangible factors. The major weaknesses of the different multi-objective programming models used to solve the problem are that they are basically mathematical and they ignore qualitative objectives, such as the environmental and socio-economic factors which are important in facility location selection. In this paper, we reported the obtained results when applying an integrated MCDA /LPM approach to solve the Facility Location Problem (FLP) for an aluminum company in Tunisia. We combined three methods, Preference-Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and a Linear Programming Model (LPM), using the Stretching and Shrinking Graphs method (SSG method).
Keywords: Multi-Criteria Decision Analysis; PROMETHEE; Linear Programming Model; SSG method; Facility Location Problem.