SANPEV: a satisficting analytic network process framework for efficiency evaluation of alternatives

• Autorzy: Tchangani A. P.
• Języki publikacji: EN

Abstrakty

EN

The purpose of this paper is to derive a procedure to evaluate a group of alternatives or units considered as systems where a certain transformation process consums heteregenous input attributes or items (to be understood in a broad sense including effort that must be done, a negative impact, consumable resources, ...) to produce or deliver heteregenous output items (including subjective satisfaction, tangible products, beneficial impact. ...). In general, many actors with, different points of view as well as different information sources more or less reliable will be involved in the evaluation process. The evaluation context we consider here consists in stakeholders (decission makers, experts, users. ...) that give then- opinion regarding the impact of each item with, regard to the evaluation goal ; the information or data (values of items for different alternatives) about items are collected from or supplied by different more or less reliable information or data sources (news papers, magazines, web. agencies and consulting cabinets, experts. ...). The established model aims to integrate the interactions between these different components (stakeholders, items. information sources and alternatives) and consists bassically for each alternative or unit in computing two measures: an aggregated measure known as the selectability at the output of the system and an aggregated measure at the input known as the rejectability in the framework of satisficing game theory. The derivation of these measures is carried up by a pairwise comparison process using the analytic network process (ANP) approach, an extension of the well known analytic hierarchy process (AHP), that allows to take into account complex interactions of evaluation process components such as dependency and feedback.

Słowa kluczowe

EN

evaluation model; multi attributes decision making; information fusion; satisficing game theory; analytic network process; analytic hierarchy process (AHP); DEA

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2006
• Tom: Vol. 31, No. 3-4
• Strony: 291--319
• Opis fizyczny: Bibliogr. 25 poz.

Twórcy

autor

Tchangani A. P.

• Dpt. GEII, IUT de Tarbes, Universite Toulouse III, 1, rue Lautreamont, 65016 Tarbes Cedex, France,

Bibliografia

• [1] Charnes A., Cooper W. W., Rhodes E-, Measuring the efficiency of decision making units, European Journal of Operational Research, 2, 1978, 429-444.
• [2] Bouyssou D., Marchant T., Perny P., Pirlot M-, Tsoukias A., Vincke P., Evaluation and Decision Models: A critical perspective, Kluwer Academic Publishers, Dordrecht, 2001.
• [3] Dantzig G.B., Linear programming and extensions, Princeton University Press, Princeton, NJ, 1963.
• [4] Steering Committee, Data Envelopment Analysis. A technique for measuring the efficiency of government delivery service, Commonwealth of Australia, ISBN: 0-646-33533-2, 1997.
• [5] DEA Database. http://www.deazone.com/datasets/FILEl/index.asp
• [6] Dyson R. G., Thanassoulis E-, Reducing weight flexibility in data envelopment analysis, J. Op. Res. Soc., 39, 1988, 563-576.
• [7] Emrouznejad A., Podinovski V., Data Envelopment Analysis and Performance Management, 2004.
• [8] Jacquet-Lagreze, Sisko J.. Assessing a set of additive utility functions for mul-ticriteria decision making: The UTA method, European Journal of Operational Research, 10, 2, 1982, 151-164.
• [9] Land K. C., Lovell C. A. K., Thore S., Productive Efficiency under Capitalism and State Socialism: An Empirical Inquiry Using Chance-Constrained Data Envelopment Analysis, Technological Forecasting and Social Change 46, 1994, 139-152.
• [10] Roll Y., GOLANY B., Alternative Methods of Treating Factor Weights in DEA, Omega, 21, 1,1993, 99-109.
• [11] Roy B,, Bouyssou D., Aide Multicritere a la Decision: Methodes et Cas, Edition Economica, Paris, 1993.
• [12] Saaty T., The Analytic Hierarchical Process: Planning, Priority, Resource Allocation, McGraw Hill, New York, 1980.
• [13] Saaty T., The Analytic Network Process: Decision Making with Dependence and Feedback, RWS Publications, Pittsburgh, 2005.
• [14] Salminen P., Hokkanen J., Lahdehna R., Multicriteria Decision Analysis Project on Environmental Problems, Report 5/1996, Department of Mathematics, Laboratory of Scientific Computing, University of Jyvaskyla, 1996.
• [15] Salo A.A. and Hsmalainen R.P., On the Measurement of Preferences in the Analytic Hierarchy Process, Journal of Multicriteria Decision Analysis, 6, 1997, 309-319.
• [16] Simon H. A., Administrative Behavior: A study of decision-making processes in administrative organizations, Fourth Edition, The Free Press, 1997.
• [17] Steuer R. E-, Muticriteria Optimization: Theory, Computation, and Application, Wiley, New York, 1986.
• [18] Stirling W. C., Satisficing Games and Decision Making: With Applications to Engineering and Computer Science, Cambridge University Press, 2003.
• [19] Super Decisions, http://www.superdecisions.com/
• [20] Tchangani A. P., A Satisficing Game Approach for Group Evaluation of Production Units, Decision Support Systems, 42, 2, 2006, 778-788.
• [21] Tchangani A.P., Multiple Objectives and Multiple Actors Load/Resource Dispatching or Priority Setting: Satisficing Game Approach, Advanced Modeling and Optimization: An Electronic International Journal, 8, 2, 2006, 111 - 134.
• [22] Thore S. A.. Technology Commercialization: DEA and Related Analytical Methods for Evaluating the Use and Implementation of Technical Innovation, Kluwer Academic Publishers, Boston/Dordrecht/London, 2002.
• [23] Thore S.. Kozmetsky G., Phillips F., DEA of Financial Statements Data: the U.S. Computer Industry. Journal of Productivity Analysis. 2, 1994, 229-248.
• [24] Vincke P., L'aide multicritere d ta decision, Editions de I'Umversite Librę de Bruxelles, Bruxelles, 1989.
• [25] Winston W. L., Operations Research: Applications and Algorithms, Third Edition, Duxbury Press, 1994