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Combing up method for creating final objects location on base of ranking lists

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Języki publikacji
EN
Abstrakty
EN
Multi-attribute classification (ordering) problem concerns assignment of objects (tasks) to some predefined and preference-ordered decision classes [1, 2]. In considered situation objects are described by a finite sets of locations. Disposing several objects ranking lists it is possible exploit information about distribution. It was assumed that distribution information base on so called neighborhoods structures. These structures can approve or disapprove judgments unanimity prepared by experts (agents, responders, algorithms). Disposing distribution characteristics we define set of criteria. So, it is challenging problem which can be solved on base of preference theory. Reaching preference approach by neighborhood elements we exploit addition information, which help compromise achievement. Proposed method of objects ordering based of considering preference relations during process of lists combining up along their positions. Such approach enlarge scale of divergences in these relations.
Rocznik
Strony
161--171
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
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autor
autor
Bibliografia
  • [1] Dembczyński K., Greco S., Słowiński R., Methodology of rough-set-based classification and sorting with hierarchical structure of attributes and criteria, Control and Cybernetics 2002, 31, 4.
  • [2] Słowiński R., Greco S., Matarazzo B., Axiomatization of utility and decision rule preference models for multiple-criteria classification problem under partial inconsistency with the dominance principle, Control and Cybernetics 2002, 1005-1035.
  • [3] Finch H.A., Confirming power of observations metricized for decisions among hypotheses, Philosophy of Science 1999, 27, 391-404.
  • [4] Piech H., Analysis of possibilities and effectiveness of combine rough set theoryand neibourhood theories for solving dynamic scheduling problem, IEEE Computer Society, P3674, Washington, Tokyo 2009, 296-302.
  • [5] Słowiński R., Brzezińska I., Greco S., Application of Bayesian Confirmation Measures for Mining Rules from Support Confidence Pareto Optimal Set, ICAISC LNSC, 4029, Heilderberg 2006, Springer, 1018-1026.
  • [6] Greco S., Matarazzo B., Słowiński R., Stefanowski J., An algorithm for induction of decision rules with dominance principle, Rough Sets and Current Trends in Computing, LNAI, Springer - Verlag, Berlin 2005, 304-313.
  • [7] Greco S., Matarazzo B., Słowiński R., Extension of rough set approach to multicriteria decision support, INFOR 2000, 38, 161-196.
  • [8] Greco S., Matarazzo B., Słowiński R., Rough sets theory for multicriteria decision analysis, European J. of Operational Research 2001, 129, 1-47.
  • [9] Pawlak Z., Sugeno M., Decision rules Bayes, rule and rough, new decisions in rough rets, Springer - Verlag, Berlin 1999.
  • [10] Kohler W.H., A preliminary evolution of the critical path method for scheduling tasks on multiprocessor systems, IEEE Trans. Comput. 1975, 24, 1235-1238.
  • [11] Roy B., Main sources of inaccurate determination, uncertainty and imprecision in decision models, Mathematical and Computer Modeling 1989, 12, 10/11, 1245-1254.
  • [12] Talbi E.D., Geneste L., Grabot B., Prévitali R., Hostachy P., Application of optimization techniques to parameter set-up in scheduling, Computers in Industry 2004, 55, 2, October, 105-124.
  • [13] Greco S., Matarazzo B., Słowiński R., Assessing the Quality of Rules with a New Monotonic Interestingness Measure Z, Artificial Intelligence and Soft Computing, Springer - Verlag 2008, 556-565.
  • [14] Roy B., Bouyssou D., Aide Multicriteria a la Decision: Methodes et Cas, Economica, Paris 1993.
  • [15] Namagashi M., Kansei Engineering: A new ergonomic customer-oriented technology for product development, International Journal of Industrial Ergonomics 1995, 15, 1, 3-11.
  • [16] Brzezińska I., Greco S., Słowiński R., Mining Pareto-optimal rules with respect to support and anti-suport, Engineering Applications of Artificial Inteligence 2007, 20(5), 587-600.
  • [17] Greco S., Matarazzo B., Słowiński R., Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough sets decision rules, European J. of Operational Research 2003.
  • [18] Greco S., Matarazzo B., Słowiński R., Customer Satisfaction Analysis based on Rough Set Approach, ZfB 77, H. 3, Gabler Verlag 2007, 325-339.
  • [19] Jaroń J., Systemic Prolegomena to Theoretical Cybernetics, Scient. Papers of Inst. of Techn. Cybernetics 25, Wrocław 1975.
  • [20] Nikodem J., Autonomy and Cooperation as Factors Dependability in Wireless Sensor Network, IEEE Computer Society P3179, 406-413, 2008-08-09.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPC6-0004-0022
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