Refractured Well Selection for Multicriteria Group Decision Making by Integrating Fuzzy AHP with Fuzzy TOPSIS Based on Interval-Typed Fuzzy Numbers
暂无分享,去创建一个
[1] Thomas L. Saaty,et al. On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process , 2007, Math. Comput. Model..
[2] Gwo-Hshiung Tzeng,et al. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..
[3] Cengiz Kahraman,et al. Operating system selection using fuzzy replacement analysis and analytic hierarchy process , 2005 .
[4] Ching-Lai Hwang,et al. Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.
[5] Metin Dağdeviren,et al. Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008, Inf. Sci..
[6] Richard Bellman,et al. Decision-making in fuzzy environment , 2012 .
[7] Ruey-Chyn Tsaur,et al. Decision risk analysis for an interval TOPSIS method , 2011, Appl. Math. Comput..
[8] Chen-Tung Chen,et al. Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..
[9] C. Hwang,et al. TOPSIS for MODM , 1994 .
[10] Gülçin Büyüközkan,et al. A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..
[11] Gin-Shuh Liang,et al. A soft computing method of performance evaluation with MCDM based on interval-valued fuzzy numbers , 2012, Appl. Soft Comput..
[12] Reza Zanjirani Farahani,et al. Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives , 2010, Appl. Soft Comput..
[13] Peide Liu,et al. An Extended TOPSIS Method for Multiple Attribute Group Decision Making Based on Generalized Interval-valued Trapezoidal Fuzzy Numbers , 2011, Informatica.
[14] Denis Bouyssou,et al. Some remarks on the notion of compensation in MCDM , 1986 .
[15] Adel Guitouni,et al. Tentative guidelines to help choosing an appropriate MCDA method , 1998, Eur. J. Oper. Res..
[16] Fei Ye,et al. An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection , 2010, Expert Syst. Appl..
[17] Ludmil Mikhailov,et al. A fuzzy approach to deriving priorities from interval pairwise comparison judgements , 2004, Eur. J. Oper. Res..
[18] Mohammad Izadikhah,et al. An algorithmic method to extend TOPSIS for decision-making problems with interval data , 2006, Appl. Math. Comput..
[19] Zaili Yang,et al. Fuzzy risk assessment of oil and gas offshore wells , 2011 .
[20] Ting-Yu Chen,et al. The interval-valued fuzzy TOPSIS method and experimental analysis , 2008, Fuzzy Sets Syst..
[21] Ahmad Makui,et al. Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets , 2009, Appl. Soft Comput..
[22] Shyi-Ming Chen,et al. Fuzzy risk analysis based on interval-valued fuzzy numbers , 2009, Expert Syst. Appl..
[23] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[24] Peide Liu,et al. A weighted aggregation operators multi-attribute group decision-making method based on interval-valued trapezoidal fuzzy numbers , 2011, Expert Syst. Appl..
[25] Prasanta Kumar Dey,et al. Integrated project evaluation and selection using multiple-attribute decision-making technique , 2006 .
[26] Chia-Chi Sun,et al. A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods , 2010, Expert Syst. Appl..
[27] Gwo-Hshiung Tzeng,et al. A hierarchy fuzzy MCDM method for studying electronic marketing strategies in the information service industry , 1998 .
[28] L. Duckstein,et al. Multiobjective optimization in river basin development , 1980 .
[29] Peide Liu,et al. A multi-attribute group decision-making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers , 2012 .
[30] Yanbing Ju,et al. Emergency alternative evaluation under group decision makers: A method of incorporating DS/AHP with extended TOPSIS , 2012, Expert Syst. Appl..
[31] Alev Taskin Gumus,et al. Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology , 2009, Expert Syst. Appl..
[32] Renato A. Krohling,et al. Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea , 2011, Expert Syst. Appl..
[33] Gülçin Büyüközkan,et al. A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry , 2012, Expert Syst. Appl..
[34] Xiaoping Li,et al. Correlation and information energy of interval-valued fuzzy numbers , 1999, Fuzzy Sets Syst..
[35] T. Saaty,et al. The Analytic Hierarchy Process , 1985 .
[36] Morteza Pakdin Amiri,et al. Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods , 2010, Expert Syst. Appl..
[37] L. Baležentienė,et al. Multi-criteria evaluation of new humic fertilizers effectiveness and optimal rate on a basis of TOPSIS method , 2011 .
[38] Tomas Baležentis,et al. A novel method for group multi-attribute decision making with two-tuple linguistic computing: Supplier evaluation under uncertainty , 2011 .
[39] Fang Wei-guo,et al. A multi-attribute group decision-making method approaching to group ideal solution , 2007, 2007 IEEE International Conference on Grey Systems and Intelligent Services.
[40] Kirti Peniwati,et al. Criteria for evaluating group decision-making methods , 2007, Math. Comput. Model..
[41] L. Baležentienė. Multi-criteria optimization for mitigation model of greenhouse gas emissions from abandoned grassland , 2012 .