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A Big-Bang Big-Crunch Optimized General Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making


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[1] K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 110, 1986, 87 - 96.10.1016/S0165-0114(86)80034-3Search in Google Scholar

[2] R. M. Rodrıguez, L. Martınez, and F. Herrera, Hesitant Fuzzy Linguistic Term Sets for Decision Making, IEEE Transactions On Fuzzy Systems, 20, 1, 2012, 109-119.10.1109/TFUZZ.2011.2170076Search in Google Scholar

[3] R. R. Yager, Fuzzy decision making including unequal objectives, Fuzzy Sets and Systems, 1, 1978, 87-95, 1978.10.1016/0165-0114(78)90010-6Search in Google Scholar

[4] L. A. Zadeh. Fuzzy sets, Information and Control, 8, 1865, 338-353.10.1016/S0019-9958(65)90241-XSearch in Google Scholar

[5] S. D. Pohekar, Application of multi-criteria decision making to sustainable energy planning-A review, Renewable and Sustainable Energy Reviews, 8, 4, 2004, 365-381.10.1016/j.rser.2003.12.007Search in Google Scholar

[6] F. E.Borana, S. Gena, M. Kurtb, and M. Kurtb, A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications, 36, 8, 2009, 11363-11368.10.1016/j.eswa.2009.03.039Search in Google Scholar

[7] S. M. Chen, M. W. Yang, L. W. Lee, and S. W. Yang, Fuzzy multiple attributes group decisionmaking based on ranking interval type-2 fuzzy sets, Expert Systems with Applications, 39, 2012, 5295-5308.10.1016/j.eswa.2011.11.008Search in Google Scholar

[8] S. M. Chen and L. W. Lee, Fuzzy multiple attributes group decision-making based on ranking values and the arithmetic operations of interval type-2 fuzzy sets, Expert Systems with Applications, 37, 1, 2012, 824-833.10.1016/j.eswa.2009.06.094Search in Google Scholar

[9] S. M. Chen and L. W. Lee, Fuzzy multiple attributes group decision-making based on interval type-2 TOPSIS method, Expert Systems with Applications, 37, 4, 2012, 2790-2798.10.1016/j.eswa.2009.09.012Search in Google Scholar

[10] S. M. Chen, and L. W. Lee, Fuzzy multiple criteria hierarchical group decision-making based on interval type-2 fuzzy sets, IEEE Transactions On Systems, Man, And Cybernetics-Part A: Systems And Humans, 40, 5, 2010, 1120-1128.10.1109/TSMCA.2010.2044039Search in Google Scholar

[11] W. Wang, X. Liu, and Y. Qin, Multi-attribute group decision making models under interval type-2 fuzzy environment, Knowledge Based Systems, vol. 30, pp. 121-128, 2012.10.1016/j.knosys.2012.01.005Search in Google Scholar

[12] C. Wagner, and H. Hagras, Novel Methods for the Design of General Type-2 fuzzy Sets based on Device Characteristics and Linguistic Labels Surveys, IFSA-EUSFLAT, ISBN: 978-989-95079-6-8, 2009, 537-543.Search in Google Scholar

[13] C. Wagner, and H. Hagras, Toward General Type-2 Fuzzy Logic Systems Based on zSlices, IEEE Transactions On Fuzzy Systems, 18, 4, 2012, 637-660.10.1109/TFUZZ.2010.2045386Search in Google Scholar

[14] O. Linda, and M. Manic, General Type-2 Fuzzy CMeans Algorithm for Uncertain Fuzzy Clustering, IEEE Transactions on Fuzzy Systems, 20, 5, 2012, 883-897.10.1109/TFUZZ.2012.2187453Search in Google Scholar

[15] S. Naim, and H. Hagras, A Fuzzy Logic Based Multi-Criteria Group Decision Making System for the Assessment of Umbilical Cord Acid-Base Balance, WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June, 10-15, 2012, 2122 - 2129.10.1109/FUZZ-IEEE.2012.6251361Search in Google Scholar

[16] S. Naim and H. Hagras, A Hybrid Approach for Multi-Criteria Group Decision Making Based on Interval Type-2 Fuzzy Logic and Intuitionistic Fuzzy Evaluation, WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June, 10-15, 2012, 1066 - 1073.10.1109/FUZZ-IEEE.2012.6251212Search in Google Scholar

[17] H. X. Zhang, F. Wang, and B. Zhang, Genetic optimization of fuzzy membership functions, Proceedings of the 2009 International Conference on Wavelet Analysis and Pattern Recognition, Baoding, 2009, 465-470.Search in Google Scholar

[18] T. Kumbasar, I. Eksin, M. Guzelkaya and E. Yesil, Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm, Expert Systems with Applications, 38, 2011, 12356-12364.10.1016/j.eswa.2011.04.015Search in Google Scholar

[19] C. V. Camp and F. Huq, CO2 and cost optimization of reinforced concrete frames using a big bang-big crunch algorithm, Original Research Article Engineering Structures, 48, 2013, 363-372.10.1016/j.engstruct.2012.09.004Search in Google Scholar

[20] H. Tang, J. Zhou, S. Xue and L.Xie, Big Bang- Big Crunch optimization for parameter estimation in structural systems, Original Research Article Mechanical Systems and Signal Processing, 24, 8, 2010, 2888-2897. 10.1016/j.ymssp.2010.03.012Search in Google Scholar

[21] O. K. Erol and I. Eksin, A new optimization method: Big Bang-Big Crunch, Advances in Engineering Software, 37, 2006, 106-111.10.1016/j.advengsoft.2005.04.005Search in Google Scholar

[22] L.Cervantes and O. Castillo, Genetic optimization of membership functions in modular fuzzy controllers for complex problems, Recent Advances on Hybrid Intelligent Systems Studies in Computational Intelligence, 451, 2013, 51-62.10.1007/978-3-642-33021-6_4Search in Google Scholar

[23] N. R. Cazarez-Castro, L. T.Aguilar and O. Castillo, Fuzzy logic control with genetic membership function parameter optimization for the output regulation of a servomechanism with nonlinear backlash, Expert Systems with Applications, 37, 6, 2010, 4368-4378.10.1016/j.eswa.2009.11.091Search in Google Scholar

[24] W. Chen, R. Zhu and Y.Wu, Membership functions optimization of fuzzy control based on genetic algorithms, International Refrigeration and Air Conditioning Conference, 1998, 207-211.Search in Google Scholar

[25] A. M. Acilar and A. Arslan, Optimization of multiple input-output fuzzy membership functions using clonal selection algorithm, Journal Expert Systems with Applications, 38 3, 2011, 1374-1381.10.1016/j.eswa.2010.07.036Search in Google Scholar

[26] G. Fang, N. M. Kwok and Q. Ha, Automatic fuzzy membership function tuning using the particle swarm optimization, IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008, 324, 328.10.1109/PACIIA.2008.105Search in Google Scholar

[27] E. Turanoglu, E. Ozceylan and M. S. Kiran, Particle swarm optimization and artificial bee colony approaches to optimize of single input-output fuzzy membership functions, Proceedings of the 41st International Conference on Computers & Industrial Engineering, 2011, 542-547.Search in Google Scholar

[28] S. Vaneshani and H. Jazayeri-Rad, Optimized fuzzy control by particle swarm optimization technique for control of CSTR,World Academy of Science, Engineering and Technology, 59, 2011, 686-691.Search in Google Scholar

[29] J. M. Mendel, and R. I. B. John, Type-2 fuzzy sets made simple, IEEE Transactions on Fuzzy System, 10, 2, 2002, 117-127.10.1109/91.995115Search in Google Scholar

[30] Q. Liang, N. N. Karnik, and J. M. Mendel, Connection admission control in ATM networks using survey-based type-2 fuzzy logic systems, Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions, 30, 3, 2000, 329-339.10.1109/5326.885114Search in Google Scholar

[31] H. Hagras, A hierarchical Type-2 Fuzzy Logic Control Architecture for Autonomous Mobile Robots, IEEE Transactions on Fuzzy Systems, 12, 4, 2004, 524-539.10.1109/TFUZZ.2004.832538Search in Google Scholar

[32] J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Upper Saddle River, NJ: Prentice-Hall, 2001. Search in Google Scholar

[33] W. Wang, X. Liu, and Y. Qin, Multi-attribute group decision making models under interval type-2 fuzzy environment, Knowledge Based Systems, 30, 2012, 121-128.10.1016/j.knosys.2012.01.005Search in Google Scholar

[34] Z. Xu, Intuitionistic preference relations and their application in group decision making, Information Sciences, 177, 2007, 2363-2379.10.1016/j.ins.2006.12.019Search in Google Scholar

[35] R. Stecher, Let there be light-at least enough for reading in libraries, Bull Medical Library Association, 33, 2, 1945, 220-230.Search in Google Scholar

[36] A. Bilgin, J. Dooley, L. Whittington, H. Hagras, M. Henson, C. Wagner, A. Malibari, A. Al- Ghamdi, M. Al-haddad & D. Al-Ghazzawi, Dynamic Profile-Selection for zSlices Based Type-2 Fuzzy Agents Controlling Multi-User Ambient Intelligent Environments, Proceedings of the 2012 IEEE International Conference on Fuzzy Systems, Brisbane, June 2012. 10.1109/FUZZ-IEEE.2012.6251256Search in Google Scholar

eISSN:
2083-2567
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Artificial Intelligence, Databases and Data Mining