TOWARDS A SPATIAL DECISION SUPPORT SYSTEM FOR TERRITORY PLANNING

Authors

  • Kaouter Labed Ecole Normale Superieure d’Oran, Algérie
  • Djamila Hamdadou University of Oran Es-Senia, Algeria
  • Mohamed Trifa Mohammed Seddik Benyahia University of Jijel (Algeria)

Keywords:

Geographical Information System (GIS), Multicriteria Analysis (MCA), Multi Objective Genetic Algorithms (MOGA), Regional planning, Multicriteria Spatial Decision Support System (MSDSS)

Abstract

In this paper, we introduce a multicriteria flexible decision-making system for regional planning. The proposed spatial decision support system integrates several variants which contribute simultaneously to obtain a better territorial context analysis. The suggested Multicriteria Spatial Decision Support System (MC-SDSS) mainly employs an improved version of  Electre III as a methodological evaluation approach. Indeed, the classical Electre III method suffers from a few irregularities that can be considerably minimized by the use of optimization methods issued from Artificial Intelligence and Operational Research. The proposed approach has improved the decision quality for territory decision makers in the realisation of regional planning projects and particularly in identifying a surface area that more effectively meets certain criteria.

Downloads

Download data is not yet available.

References

Keenan PB, Jankowski P. Spatial Decision Support Systems: Three decades on. Decis Support Syst. 2019;116(January 2018):64-76. doi:10.1016/j.dss.2018.10.010

P.J. Densham, Spatial decision support systems, in: D.J. Maguire, M.F. Goodchild, D.W. Rhind (Eds.), Geographical Information Systems, Volume 1: Principles, Longman Scientific & Technical, Harlow, Essex, 1991, pp. 403–412.

Cinelli M, Kadzi M, Gonzalez M, Słowi R. How to support the application of multiple criteria decision analysis ? Let us start with a comprehensive taxonomy, Omega, 2020;96.

doi:10.1016/j.omega.2020.102261

Joerin, F.: Décider sur le territoire : Proposition d’une approche par l’utilisation de SIG et de MMC. Thèse Doctorat, École Polytechnique De Lausanne, (1997).

D. HAMDADOU et M.R. GHALEM, "A Multicriterion SDSS for the Space Process Control: Towards a Hybrid Approach", MICAI 2007: Advances in Artificial Intelligence, LNCS, Springer, ISSN 0302-9743 1611-3349, pp 139-150, 2007.

Triantaphyllou, E.: Multi-Criteria Decision Making Methods: A Comparative Study. Kluwer Academic Publishers, Boston, MA, U.S.A,( 2000).

Aruldoss, M., Lakshmi, T.M. and Venkatesan, V.P. (2013) 'A Survey on Multi Criteria Decision Making Methods and Its Applications', American Journal of Information Systems, Vol. 1, No. 1, pp.31-43.

Jana B, Sarkar A, Paria A, Ghosh TK, Bandyopadhyay S. Multi Attribute Decision-making : A Survey. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2020;11(03):1919-1938.

Chakraborty, R.; Ray, A.; Dan, P. Multi criteria decision making methods for location selection of distribution centers. Int. J. Ind. Eng. Comput. 2013, 4, 491–504.

Lee, A.H.; Kang, H.Y.; Liou, Y.J. A hybrid multiple-criteria decision-making approach for photovoltaic solar plant location selection. Sustainability 2017, 9, 184.

Wang, C.N.; Nguyen, V.T.; Thai, H.T.N.; Duong, D.H. Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam. Energies 2018, 11, 1504.

Marzouk M, Mohammed Abdelkader E. On the use of multi-criteria decision making methods for minimizing environmental emissions in construction projects. Decis Sci Lett. 2019;8. doi:10.5267/j.dsl.2019.6.002

Roy, B., Boyssou, D.: Aide multicritère à la décision : Méthodes et cas . Economica, Paris, (1993).

Roy, B.: The optimisation problem formulation: criticism and overstepping. The Jounal of the Operational Research Society, (1981), 32, 6, 427-436.

Figueira, J.R., Greco, S., Roy, B. and Słowiński, R. (2013), An Overview of ELECTRE Methods and their Recent Extensions. J. Multi-Crit. Decis. Anal., 20: 61-

https://doi.org/10.1002/mcda.1482

I-Fei Chen, Ruey-Chyn Tsaur and Po-Ying Chen, " Selection of Best Smartphone Using Revised ELECTRE-III Method ", International Journal of Information Technology & Decision Making Vol. 17 (2018).

Dan YUAN, ''An Improved ELECTRE III Approach to the Evaluation of PE Teachers', International Conference on Civil, Materials and Environmental Sciences (CMES 2015), 2015.

Mousavi M, Gitinavard H, Mousavi SM. A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information. Renew Sustain Energy Rev 2017;68:774–87.

Leyva López, J.C.: Multicriteria Decision Aid Application To A Student Selection Problem. Pesquisa Operacional, v.25. n.1.(2005) .p.45-68.

Chavira DAG, Lopez JCL, Noriega JJS, Valenzuela OA, Carrillo PAA. A credit ranking model for a parafinancial company based on the ELECTRE-III method and a multiobjective evolutionary algorithm. Appl Soft Comput 2017;60:190–201.

Boyssou, D., Dubois, D.: Concepts et Méthodes pour l’Aide à Décision. Hermès (2003).

Ben Mena S.: Introduction aux méthodes multicritères. Biotechnol Agron.Soc.Environ, (2000).

L.Y.Maystre, D.Bollinger, « Aide à la négociation multicritère: pratique et conseils », PPUR, Lausanne, Suisse, 1999.

Marichal, J.-L.: Fuzzy measures and integrals in the MCDA sorting problematic. Thèse Doctorat, Université Libre de Bruxelles, (2003).

B. X. Wang and E. Triantaphyllou, “Ranking Irregularities when Evaluating Alternatives by Using Some Multi-Criteria Decision Analysis Methods Abstract : Keywords : 1 Introduction to MCDA,” vol. 36, no. 1, pp. 1–16, 2006.

Bandyopadhyay, S., U. Maulik, and A. Mukhopadhyay. 2007. Multiobjective genetic clustering for pixel classification in remote sensing imagery. Geoscience and Remote Sensing 45 (5):1506–11.

Bong C and Rajeswari M: Multi-objective nature-inspired clustering and classification techniques for image segmentation, Applied Soft Computing 11, 3271–3282 (2011).

M.A. Hamadouche, « Contribution à la mise en place d’un système basé sur les systèmes d’information géographique et l’analyse multicritère pour décider sur le territoire ». Mémoire de Magister en techniques spatiales et applications. Option : Géomatique, CNTS, Arzew, Oran, Algérie, 2005.

Downloads

Published

2024-01-01

How to Cite

Labed, K. ., Hamdadou , D. ., & Trifa , M. . (2024). TOWARDS A SPATIAL DECISION SUPPORT SYSTEM FOR TERRITORY PLANNING . The Journal of Contemporary Issues in Business and Government, 30(1), 25–36. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/2712