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Dwelling selection by applying fuzzy game theory

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Wybór mieszkania przez zastosowanie teorii gier
Języki publikacji
EN
Abstrakty
EN
The paper describes model of dwelling selection, using fuzzy games theory. Two types of buildings are under consideration: traditional singe flat dwelling house and loft flat dwelling house. Four alternatives of heating system are taking into account: coal based, gas based, biomass based, and combined biomass and gas based systems. Alternatives are described by a criteria set. Values of the criteria are determined by simulation and according to the statistic. Fuzzy games are applied for decision aiding. The problem solution result shows that fuzzy matrix games theory is appropriate for such purposes.
PL
W artykule przedstawiono model służący do oceny mieszkania. Do badań przyjęto dwa typy budynków: tradycyjny budynek mieszkalny z kawalerkami oraz budynek mieszkalny z "loftami". Pod uwagę wzięto cztery alternatywne systemy ogrzewania budynków: węglem, gazem, biomasą oraz system mieszanym, tj. biomasą i gazem. Alternatywne systemy są opisane przez zbiór kryteriów. Wartości kryteriów zostały wyznaczone metodą symulacji oraz przy zastosowaniu metod statystycznych. Do wspomagania procesu decyzyjnego zastosowano rozmytą teorię gier. Wynik rozwiązania postawionego w artykule problemu wskazuje, że rozmyta macierz teorii gier jest odpowiednia do takich celów.
Rocznik
Strony
681--697
Opis fizyczny
Bibliogr. 55 poz., tab.
Twórcy
autor
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Department of Construction Technology and Management, Sauletekio ave. 11, LT-10223 Vilnius, Lithuania
Bibliografia
  • [1] Ananda J., Herath G.: A critical review of multi-criteria decision making methods with special reference to forest management and planning, Ecological Economics, Vol. 68, No. 10, 2009, pp. 2535-2548.
  • [2] Bamberg G., Coenenberg A.G.: Betriebswirtschaftliche Entscheidunslehre, 7. Aufl., München, 1992.
  • [3] Behzadian M., Kazemzadeh R.B., Albadvi A., Aghdasi M.: PROMETHEE: A comprehensive literature review on methodologies and applications, European Journal of Operational Research, Vol. 200, No. 1, 2010, pp. 198-215.
  • [4] Bompard E., Carpaneto E., Ciwei G., Napoli R., Benini M., Gallanti M., Migliavacca G.: A game theory simulator for assessing the performances of competitive electricity markets, Electric Power Systems Research, Vol. 78, No. 2, 2008, pp. 217-227.
  • [5] Boroushaki S., Malczewski J.: Using the fuzzy majority approach for GIS-based multicriteria group decision-making, Computers & Geosciences, Vol. 36, No. 3, 2010, pp. 302-312.
  • [6] Charilas D.E., Panagopoulos A.D.: A survey on game theory applications in wireless networks, Computer Networks, Vol. 54, No. 18, 2010, pp. 3421-3430.
  • [7] Deng Y., Chan F.T.S., Wu Y., Wang D.: A new linguistic MCDM method based on multiple-criterion data fusion, Expert Systems with Applications, Vol. 38, No. 6, 2011, pp. 6985-6993.
  • [8] Doumpos M., Marinakis Y., Marinaki M., Zopounidis C.: An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method, European Journal of Operational Research, Vol. 199, No. 2, 2009, pp. 496-505.
  • [9] Fiestras-Janeiro M.G., García-Jurado I., Meca A., Mosquera M.A.: Cooperative game theory and inventory management, European Journal of Operational Research, Vol. 210, No. 3, 2011, pp. 459-466.
  • [10] Hennet J.-C., Arda Y.: Supply chain coordination: A game-theory approach, Engineering Applications of Artificial Intelligence, Vol. 21, No. 3, 2008, pp. 399-405.
  • [11] Ho W., Xu X., Dey P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, European Journal of Operational Research, Vol. 202, No. 1, 2010, pp. 16-24.
  • [12] Hui E.C.M., Lau O.M.F., Lo K.K.: A fuzzy decision-making approach for portfolio management with direct real estate investment, International Journal of Strategic Property Management, Vol. 13, No. 2, 2009, pp. 191-204.
  • [13] Jacquet-Lagreze E., Siskos Y.: Preference disaggregation: 20 years of MCDA experience, European Journal of Operational Research, Vol. 130, No. 2, 2001, pp. 233-245.
  • [14] Kahraman C., Engin O., Kabak Ö., Kaya I.: Information systems outsourcing decisions using a group decision-making approach, Engineering Applications of Artificial Intelligence, Vol. 22, No. 6, 2009, pp. 832-841.
  • [15] Kahraman C., Kaya I.: Investment analyses using fuzzy probability concept, Technological and Economic Development of Economy, Vol. 16, No. 1, 2010, pp. 43-57.
  • [16] Kahraman C., Kaya I., Cebi S.: A comparative analysis for multi-attribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process, Energy, Vol. 34, No. 10, 2009, pp. 1603-1616.
  • [17] Kahraman C., Kaya I.: A fuzzy multicriteria methodology for selection among energy alternatives, Expert Systems with Applications, Vol. 37, No. 9, 2010, pp. 6270-6281.
  • [18] Kalibatas D., Zavadskas E.K., Kalibatiene D.: The concept of the ideal indoor environment in multi-attribute assessment of dwelling-houses, Archives of Civil and Mechanical Engineering, Vol. 11, No. 1, 2011, pp. 89-101.
  • [19] Kapliński O., Tamošaitiene J.: Game theory applications in construction engineering and management, Technological and Economic Development of Economy, Vol. 16, No. 2, 2010, pp. 348-363.
  • [20] Kaya T., Kahraman C.: Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach, Expert Systems with Applications, Vol. 38, No. 6, 2011, pp. 7326-7333.
  • [21] Leberling H.: On finding compromise solutions in multi-criteria problems using fuzzyminoperator, Fuzzy sets and systems, No. 6, 1981, pp. 105-118.
  • [22] Limaei S.M.: Mixed strategy game theory, application in forest industry, Forest Policy and Economics, Vol. 12, No. 7, 2010, pp. 527-531.
  • [23] Liu S., Proctor W., Cook D.: Using an integrated fuzzy set and deliberative multi-criteria evaluation approach to facilitate decision-making in invasive species management, Ecological Economics, Vol. 69, No. 12, 2010, pp. 2374-2382.
  • [24] Liu W.-Y., Yue K., Wu T.-Y., Wei M.-J.: An approach for multi-objective categorization based on the game theory and markov process, Applied Soft Computing, Vol. 11, No. 6, 2011, pp. 4087-4096.
  • [25] Long R., Yu L.: Study on regulation design about energy-saving and emission-reduction based on game theory, Procedia Earth and Planetary Science, Vol. 1, No. 1, 2009, pp. 1641-1646.
  • [26] Lu W.-M., Wang T.-C.: Fuzzy multi-criteria model for the industrial cooperation program transaction strategies: A case in Taiwan, Expert Systems with Applications, Vol. 38, No. 3, 2011, pp. 1490-1500.
  • [27] Madani K.: Game theory and water resources, Journal of Hydrology, Vol. 381, No. 3-4, 2010, pp. 225-238.
  • [28] Noor-E-Alam M., Lipi T.F., Hasin M.A.A., Ullah A.M.M.S.: Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM), Knowledge-Based Systems, Vol. 24, No. 3, 2011, pp. 367-377.
  • [29] Omran J., Peldschus F.: Entscheidungen mit unscharfen Spielen, Wissenschaftliche Berichte der Technischen Hochschule Leipzig, No. 6, 1990, pp. 28-38.
  • [30] Peldschus F., Zavadskas E.K., Turskis Z., Tomasaitiene J.: Substainable assessment of construction site by applying game theory, Inzinerine Ekonomika-Engineering Economics, Vol. 21, No. 3, 2010, pp. 223-237.
  • [31] Peldschus F., Zavadskas E.K.: Fuzzy matrix games multi-criteria model for decision-making in engineering, Informatica, Vol. 16, No. 1, 2005, pp. 107-120.
  • [32] Peldschus F.: Experience of the game theory application in construction management, Technological and Economic Development of Economy, Vol. 14, No. 4, 2008, pp. 531-545.
  • [33] Peldschus F.: Game-theory solutions in construction operation, in: Skibniewski M.J., Vainiunas P., Zavadskas E.K. (Eds), Modern building materials, structures and techniques, The 9th International Conference in May 16-18, 2007, Vilnius, Lithuania, Selected papers, 2007, pp. 348-353.
  • [34] Peldschus F.: The analysis of the quality of the results obtained with methods of multicriteria decisions, Technological and Economic Development of Economy, Vol. 15, No. 4, 2009, pp. 580-592.
  • [35] Plebankiewicz E.: Contractor prequalification model using fuzzy sets, Journal of Civil Engineering and Management, Vol. 15, No. 4, 2009, pp. 377-385.
  • [36] Runyan P., Heping W., Zhengping W., Yu L.: Decision-making of aircraft optimum configuration utilizing multi-dimensional game theory, Chinese Journal of Aeronautics, Vol. 23, No. 2, 2010, pp. 194-197.
  • [37] Schneeweiss C.: Entscheidungskriterien bei Risiko, Berlin: Springer Verlag, 1967.
  • [38] Schwab K.D.: Ein auf dem Konzept der unscharfen Mengen basierendes Entscheidungs Modell bei mehrfacher Zielsetzung, Peter Lang, Frankfurt am Main, Diss. TH Aachen, 1983.
  • [39] Sharma R., Gopal M.: Synergizing reinforcement learning and game theory. - A new direction for control, Applied Soft Computing, Vol. 10, No. 3, 2010, pp. 675-688.
  • [40] Singh R.K., Benyoucef L.: A fuzzy TOPSIS based approach for e-sourcing, Engineering Applications of Artificial Intelligence, Vol. 24, No. 3, 2011, pp. 437-448.
  • [41] Torfi F., Farahani R.Z., Rezapour S.: Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives, Applied Soft Computing, Vol. 10, No. 2, 2010, pp. 520-528.
  • [42] Turskis Z., Zavadskas E.K., Peldschus F.: Multicriteria optimization system for decision making in construction design and management, Inzinerine Ekonomika-Engineering Economics, No. 1, 2009, pp. 7-17.
  • [43] Uçal I., Kahraman C.: Fuzzy real options valuation for oil investments, Technological and Economic Development of Economy, Vol. 15, No. 4, 2009, pp. 646-669.
  • [44] Vahidnia M.H., Alesheikh A.A., Alimohammadi A.: Hospital site selection using fuzzy AHP and its derivatives, Journal of Environmental Management, Vol. 90, No. 10, 2009, pp. 3048-3056.
  • [45] Xi B.D., Su J., Huang G.H., Qin X.S., Jiang Y.H., Huo S.L., Ji D.F., Yao B.: An integrated optimization approach and multi-criteria decision analysis for supporting the wastemanagement system of the city of Beijing, China, Engineering Applications of Artificial Intelligence, Vol. 23, No. 4, 2010, pp. 620-631.
  • [46] Yaqiong L., Man L.K., Zhang W.: Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification, Engineering Applications of Artificial Intelligence, Vol. 24, No. 2, 2011, pp. 266-277.
  • [47] Zadeh L.A.: Fuzzy Algorithmus, Information and Control, No. 12, 1968, pp. 94-102.
  • [48] Zadeh L.A.: Fuzzy sets, Information and Control, No. 8, 1965, pp. 338-353.
  • [49] Zavadskas E.K, Turskis Z.: A new logarithmic normalization method in games theory, Informatica, Vol. 19, No. 2, 2008, pp. 303-314.
  • [50] Zavadskas E.K, Ustinovichius L., Peldschus F.: Development of software for multiple criteria evaluation, Informatica, Vol. 14, No. 12, 2003, pp. 259-272.
  • [51] Zavadskas E.K., Peldschus F., Turskis Z., Tamosaitiene J.: The values of the equilibrium point for the sustainable decision making in construction, [in:] Grasserbauer M., Sakalauskas L., Zavadskas E.K. (Eds), Knowledge-based technologies and OR methodologies for decisions of Sustainable Development (KORSD-2009), The 5th International Vilnius Conference and EURO Mini Conference, September 30-October 3, 2009, Vilnius, Lithuania, Selected papers, Vilnius: Technika, pp. 154-158.
  • [52] Zavadskas E.K., Peldschus F., Turskis Z.: Multi-criteria optimization software LEVI-4.0 -A tool to support design and management in construction, in: Zavadskas E.K., Kaklauskas A., Skibnievski M.J. (Eds): 25th International Symposium on Automation and Robotics in Construction (ISARC - 2008), June 26-29, 2008, Vilnius, Lithuania, 2009, pp. 731-736.
  • [53] Zavadskas E.K., Turskis Z., Vilutiene T.: Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method, Archives of Civil and Mechanical Engineering, Vol. 10, No. 3, 2010, pp. 123-141.
  • [54] Zhang X., Liu P.: Method for aggregating triangular fuzzy intuitionistic fuzzy information and its application to decision making, Technological and Economic Development of Economy, Vol. 16, No. 2, 2010, pp. 280-290.
  • [55] Zhang X., Tan Y., Shen L., Wu Y.: An alternative approach of competitiveness evaluation for real estate developers, International Journal of Strategic Property Management, Vol. 15, No. 1, 2011, pp. 10-25.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ5-0019-0031
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