Towards a New Multicriteria Decision Support Method Using Fuzzy Measures and the Choquet Integral

2016 ◽  
Vol 5 (1) ◽  
pp. 57-86 ◽  
Author(s):  
Emdjed Alnafie ◽  
Djamila Hamdadou ◽  
Karim Bouamrane

In literature, there is a large panoply of multicriteria analysis methods (MCAM), each one is characterized by the nature of its input data, the way to edit its outputs and the operations used to perform calculations especially the performances aggregation. Aggregation is the operation consisting in grouping several quantities in a unique value in order to facilitate the manipulation and the interpretation of the original values. MCAM are classified according to the type of aggregation that they perform, so we can distinguish total, partial and local aggregation. Each MCAM has advantages and suffers from some limits. In this paper, the authors proposed a new multicriteria analysis method (AMFI) dedicated to solve ranking decision support problems. AMFI is based on the use of fuzzy measures and Choquet integral to represent interactions between criteria and improve the coherence of the results. The authors proceeded to a series of experimentations allowing highlighting theoretical elements of the proposed method and they performed sensitivity analysis to test its robustness.

Author(s):  
Khadidja Yachba ◽  
Zakaria Bendaoud ◽  
Karim Bouamrane

In this article, a solution to the problem of perturbation in the urban transport network has been proposed. This solution is based on the multicriteria decision support method, which is an efficient way of identifying appropriate solutions to different perturbations situations. The proposed model should provide synthesis, evaluation and updating of available information in order to facilitate the task of the network monitoring operator. To achieve this objective, the authors propose formal modeling of the perturbation concept through an effective and above all significant decision support system exploiting the diversity of the criteria as well as the decision maker's subjectivity. This modeling makes it possible to capitalize the knowledge available within a checkpoint and to monitor the process. The authors show how, from the information available on the network, the modeling of the process represented by a perturbation makes it possible to enrich the possibilities of evaluation of the state of the network.


Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 663 ◽  
Author(s):  
Barbara Karleuša ◽  
Andreja Hajdinger ◽  
Lidija Tadić

Methodology for determining priorities in implementing irrigation plans using multicriteria analysis method DEXi is applied on the specific case study area in the sub-catchment area of river Orljava in Požega-Slavonia County, Croatia. Five potential irrigation areas are analyzed according to five selected criteria: environmental protection, water-related (4 sub-criteria), social, economic and time criteria with different criteria importance (weight). The aims of this paper are: confirm the adequacy of using DEXi method when determining priorities in fulfilling irrigation plans; present the model for preparation of the input data; apply the method and give feedback on the application.


Author(s):  
José Cícero de Castro ◽  
Monaliza De Oliveira Ferreira ◽  
Marconi Freitas da Costa

The goal of this study was to analyze public policies to encourage the reduction of informality in the Clothing Sector of Agreste Pernambucano, based on the multicriteria analysis method. Data from the analysis were collected through questionnaires with questions that compared the criteria (entrepreneurs with higher revenues, entrepreneurs with at least one employee and entrepreneurs involving the family in the business) and policy alternatives. Subsequently, the information collected for the application of the multi-criteria AHP (Analytic Hierarchy Process) method of decision support was used. Among the alternatives analyzed, such as the expansion of microcredit, tax reduction and increased inspection, this research has shown that the best policy to reduce informality in the Clothing Sector of Agreste Pernambucano is the expansion of microcredit.


Author(s):  
Dwika Assrani ◽  
Mesran Mesran ◽  
Ronda Deli Sianturi ◽  
Yuhandri Yuhandri ◽  
Akbar Iskandar

Vocational schools that have been licensed from BNSP to LSP P1 (first party professional certification institute) are schools that have been able to carry out their own competency certification exams for their students and later a competency assessor who will test and declare the eligibility of the students, competency assessors are productive teachers who have participated in and been given training by the government, in that training the schools choose from the number of productive teachers from each department to become competency assessor trainees in accordance with predetermined criteria so a decision support system is needed so there is no gap in the selection of productive teacher assessor training participants, a vocational school that has become a P1 LSP must have a competency assessor and is a requirement to be a P1 LSP. one of the solutions to the problem is the right one by using the Decision Support System (SPK). Decision Support System (DSS) can help the school in making the decision to choose the productive teacher of the appropriate assessor training and improve the efficiency of the decision. The Extended Promethee II (EXPROM II) is a development of the Promethee II method based on the ideal and anti-ideal solution. Promethee II itself is a method of making decisions on the function of preferences with problems through an outranking approach (ranking) or is a multicriteria analysis, comparing one alternative to another and calculating the alternative gap in pairs so as to produce an output that is alternative ranking based on the highest value.Keywords: Competitive Assessor LSP P1, SPK, The Extended Promethee II


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