References
- Atanassov, K. 1986. Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20(1): 87–96. http://dx.doi.org/10.1016/S0165-0114(86)80034-3 doi: 10.1016/S0165-0114(86)80034-3
- Atanassov, K. 1999a. Intuitionistic fuzzy sets: theory and applications. Heidelberg: Physica-Verlag. http://dx.doi.org/10.1007/978-3-7908-1870-3
- Atanassov, K. 1999b. Intuitionistic fuzzy sets. Heidelberg: Physica-Verlag. http://dx.doi.org/10.1007/978-3-7908-1870-3
- Balopoulos, V.; Hatzimichailidis, A. G.; Papadopoulos, B. K. 2007. Distance and similarity measures for fuzzy operators, Information Sciences 177(11): 2336–2348. http://dx.doi.org/10.1016/j.ins.2007.01.005 doi: 10.1016/j.ins.2007.01.005
- Bustince, H.; Burillo, P. 1995. Correlation of interval-valued Intuitionistic fuzzy sets, Fuzzy Sets and Systems 74(2): 237–244. http://dx.doi.org/10.1016/0165-0114(94)00343-6 doi: 10.1016/0165-0114(94)00343-6
- Bustince, H.; Burillo, P. 1996. Structures on intuitionistic fuzzy relations, Fuzzy Sets and Systems 78(3): 293–303. http://dx.doi.org/10.1016/0165-0114(96)84610-0 doi: 10.1016/0165-0114(96)84610-0
- Chakraborty, C.; Chakraborty, D. 2006. A theoretical development on fuzzy distance measure for fuzzy numbers, Mathematical and Computer Modelling 43(3–4): 254–261. http://dx.doi.org/10.1016/j.mcm.2005.09.025 doi: 10.1016/j.mcm.2005.09.025
- Chen, S. M.; Chen, J. H. 2009. Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators, Expert Systems with Applications 36(3): 6309–6317. http://dx.doi.org/10.1016/j.eswa.2008.08.017 doi: 10.1016/j.eswa.2008.08.017
- De, S. K.; Biswas, R.; Roy, A. R. 2001. An application of intuitionistic fuzzy sets in medical diagnosis, Fuzzy Sets Systems 117(2): 209–213. http://dx.doi.org/10.1016/S0165-0114(98)00235-8 doi: 10.1016/S0165-0114(98)00235-8
- Guha, D.; Chakraborty, D. 2010. A new approach to fuzzy distance measure and similarity measure between two generalized fuzzy numbers, Applied Soft Computing 10(1): 90–99. http://dx.doi.org/10.1016/j.asoc.2009.06.009 doi: 10.1016/j.asoc.2009.06.009
- Hamdy, A. T. 2007. Operation research: an introduction. Beijing: Post and Telecom Press.
- Herrera, F.; Herrera-Viedma, E.; Martínez, L. 2000. A fusion approach for managing multi-granularity linguistic term sets in decision making, Fuzzy Sets and Systems 114(1): 43–58. http://dx.doi.org/10.1016/S0165-0114(98)00093-1 doi: 10.1016/S0165-0114(98)00093-1
- Hung, W. L.; Yang, M. S. 2004. Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance, Pattern Recognition Letters 25(14): 1603–1611. http://dx.doi.org/10.1016/j.patrec.2004.06.006 doi: 10.1016/j.patrec.2004.06.006
- Hung, W. L.; Yang, M. S. 2007. Similarity measures of intuitionistic fuzzy sets based on Lp metric, International Journal of Approximate Reasoning 46(1): 120–136. http://dx.doi.org/10.1016/j.ijar.2006.10.002 doi: 10.1016/j.ijar.2006.10.002
- Hyde, K. M.; Maier, H. R.; Colby, C. B. 2005. A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making, Journal of Environmental Management 77(4): 278–290. http://dx.doi.org/10.1016/j.jenvman.2005.06.011 doi: 10.1016/j.jenvman.2005.06.011
- Ioannis, K. V.; George, D. S. 2007. Intuitionistic fuzzy information-applications to pattern recognition, Pattern Recognition Letters 28(2): 197–206. http://dx.doi.org/10.1016/j.patrec.2006.07.004 doi: 10.1016/j.patrec.2006.07.004
- Li, D. F.; Cheng, C. T. 2002. New similarity measures of intuitionistic fuzzy sets and application to pattern recognition, Pattern Recognition Letters 23(1–3): 221–225. doi: 10.1016/S0167-8655(01)00110-6
- Li, D. F.; Wang, Y. C.; Liu, S.; Shan, F. 2008. Fractional programming methodology for multi-attribute group decision-making using IFS, Applied Soft Computing 9(1): 219–225. http://dx.doi.org/10.1016/j.asoc.2008.04.006 doi: 10.1016/j.asoc.2008.04.006
- Li, H. L.; Ma, L. C. 2008. Visualizing decision process on spheres based on the even swap concept, Decision Support Systems 45(2): 354–367. http://dx.doi.org/10.1016/j.dss.2008.01.004 doi: 10.1016/j.dss.2008.01.004
- Li, Y. H.; David, L. O.; Zheng, Q. 2007. Similarity measures between intuitionistic fuzzy (vague) sets: a comparative analysis, Pattern Recognition Letters 28(2): 278–285. http://dx.doi.org/10.1016/j.patrec.2006.07.009 doi: 10.1016/j.patrec.2006.07.009
- Liu, P. D. 2009. Multi-attribute decision-making method research based on interval vague set and TOPSIS method, Technological and Economic Development of Economy 15(3): 453–463. http://dx.doi.org/10.3846/1392-8619.2009.15.453-463 doi: 10.3846/1392-8619.2009.15.453-463
- Liu, P. D. 2014. Some Hamacher aggregation operators based on the interval-valued intuitionistic fuzzy numbers and their application to group decision making, IEEE Transactions on Fuzzy systems 22(1): 83–97. http://dx.doi.org/10.1109/TFUZZ.2013.2248736 doi: 10.1109/TFUZZ.2013.2248736
- Liu, P. D.; Jin, F. 2012. Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making, Information Sciences 205(1): 58–71. http://dx.doi.org/10.1016/j.ins.2012.04.014 doi: 10.1016/j.ins.2012.04.014
- Ma, L. C. 2010. Visualizing preferences on spheres for group decisions based on multiplicative preference relations, European Journal of Operational Research 203(1): 176–184. http://dx.doi.org/10.1016/j.ejor.2009.07.008 doi: 10.1016/j.ejor.2009.07.008
- Mitchell, H. B. 2003. On the Dengfeng-Chuntian similarity measure and its application to pattern recognition, Pattern Recognition Lett 24(16): 3101–3104. http://dx.doi.org/10.1016/S0167-8655(03)00169-7 doi: 10.1016/S0167-8655(03)00169-7
- Pankowska, A.; Wygralak, M. 2006. General IF-sets with triangular norms and their applications to group decision making, Information Sciences 176(18): 2713–2754. http://dx.doi.org/10.1016/j.ins.2005.11.011 doi: 10.1016/j.ins.2005.11.011
- Szmidt, E.; Kacprzyk, J. 2000. Distance between intuitionistic fuzzy sets, Fuzzy Sets and Systems 114(3): 505–518. http://dx.doi.org/10.1016/S0165-0114(98)00244-9 doi: 10.1016/S0165-0114(98)00244-9
- Szmidt, E.; Kacprzyk, J. 2001a. Intuitionistic fuzzy sets in intelligent data analysis for medical diagnosis, in V. N. Alexandrov, J. J. Dongarra, B. A. Juliano, R. S. Renner, C. J. K. Tan. (Eds.). Computational Science – ICCS 2001, vol. 2074. Berlin Heidelberg: Springer-Verlag, 263–271. http://dx.doi.org/10.1007/3-540-45718-6_30
- Szmidt, E.; Kacprzyk, J. 2001b. Intuitionistic fuzzy sets in some medical applications, in B. Reusch (Ed.). Fuzzy days 2001, vol. 2206. Berlin, Heidelberg: Springer-Verlag, 148–151. http://dx.doi.org/10.1007/3-540-45493-4_19
- Szmidt, E.; Kacprzyk, J. 2002. An intuitionistic fuzzy set based approach to intelligent data analysis: an application to medical diagnosis, in A. Abraham, L. Jain, J. Kacprzyk (Eds.). Recent advances in intelligent paradigms and application. Springer-Verlag, 57–70.
- Szmidt, E.; Kacprzyk, J. 2004. Similarity of intuitionistic fuzzy sets and the Jaccard coefficient, in IPMU’2004 Proceedings, 2–4 July 2004, Perugia, Italy, 1405–1412.
- Szmidt, E.; Kacprzyk, J. 2005a. Distances between intuitionistic fuzzy sets and their applications in reasoning, in Studies in computational intelligence. Berlin Heidelberg: Springer-Verlag, 2, 101–116.
- Szmidt, E.; Kacprzyk, J. 2005b. A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making, Lecture Notes in Computer Science 3558: 272–282. http://dx.doi.org/10.1007/11526018_27 doi: 10.1007/11526018_27
- Ullah, A. 1996. Entropy, divergence and distance measures with econometric applications, Journal of Statistical Planning and Inference 49(1): 137–162. http://dx.doi.org/10.1016/0378-3758(95)00034-8
- Vlachos, I. K.; Sergiadis, G. D. 2007. Intuitionistic fuzzy information-applications to pattern recognition, Pattern Recognition Letter 28(2): 197–206. http://dx.doi.org/10.1016/j.patrec.2006.07.004 doi: 10.1016/j.patrec.2006.07.004
- Vigliocco, G.; Vinsona, D. P.; Damianb, M. F.; Levelt, W. 2002. Semantic distance effects on object and action naming, Cognition 85(3): 61–69. http://dx.doi.org/10.1016/S0010-0277(02)00107-5 doi: 10.1016/S0010-0277(02)00107-5
- Wang, Y. M.; Parkan, C. 2006. Two new approaches for assessing the weights of fuzzy opinions in group decision analysis, Information Sciences 176(23): 3538–3555. http://dx.doi.org/10.1016/j.ins.2005.12.011 doi: 10.1016/j.ins.2005.12.011
- Wei, C. P.; Pei Wang, P.; Zhang, Y. Z. 2011. Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications, Information Sciences 181(19): 4273–4286. http://dx.doi.org/10.1016/j.ins.2011.06.001
- Xu, Z. S. 2007. Intuitionistic fuzzy aggregation operators, IEEE Transactions on Fuzzy Systems 15(6): 1179–1187. http://dx.doi.org/10.1109/TFUZZ.2006.890678 doi: 10.1109/TFUZZ.2006.890678
- Xu, Z. S. 2010. A method based on distance measure for interval-valued intuitionistic fuzzy group decision making, Information Sciences 180(1): 181–190. http://dx.doi.org/10.1016/j.ins.2009.09.005 doi: 10.1016/j.ins.2009.09.005
- Xu, Z. S. 2011. Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators, Knowledge-Based Systems 24(6): 749–760. http://dx.doi.org/10.1016/j.knosys.2011.01.011 doi: 10.1016/j.knosys.2011.01.011
- Xu, Z. S.; Yager, R. R. 2008. Dynamic intuitionistic fuzzy multi-attribute decision making, International Journal of Approximate Reasoning 48(1): 246–262. http://dx.doi.org/10.1016/j.ijar.2007.08.008 doi: 10.1016/j.ijar.2007.08.008
- Yang, Y.; Chiclana, F. 2009. Intuitionistic fuzzy sets: spherical representation and distances, Iternational Journal of Intelligent System 24(4): 399–420. http://dx.doi.org/10.1002/int.20342 doi: 10.1002/int.20342
- Yang, Y.; Chiclana, F. 2012. Consistency of 2D and 3D distances of intuitionistic fuzzy sets, Expert Systems with Applications 39(10): 8665–8670. http://dx.doi.org/10.1016/j.eswa.2012.01.199 doi: 10.1016/j.eswa.2012.01.199
- Ye, J. 2009. Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment, Expert Systems with Applications 36(3): 6899–6902. http://dx.doi.org/10.1016/j.eswa.2008.08.042 doi: 10.1016/j.eswa.2008.08.042
- Zadeh, L. A. 1965. Fuzzy sets, Information and Control 8(3): 338–353. http://dx.doi.org/10.1016/S0019-9958(65)90241-X doi: 10.1016/S0019-9958(65)90241-X
- Zhang, G. Q.; Lu, J. 2003. An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria, Group Decision and Negotiation 12(6): 501–515. http://dx.doi.org/10.1023/B:GRUP.0000004197.04668.cf doi: 10.1023/B:GRUP.0000004197.04668.cf
- Zhang, X.; Liu, P. D. 2010. Method for aggregating triangular fuzzy intuitionistic fuzzy information and its application to decision making, Technological and Economic Development of Economy 16(2): 280–290. http://dx.doi.org/10.3846/tede.2010.18 doi: 10.3846/tede.2010.18
- Zwick, R.; Carlstein, E.; Budescu, D. V. 1987. Measures of similarity among fuzzy concept: a comparative analysis, International Journal of Approximate Reasoning 1(2): 221–242. http://dx.doi.org/10.1016/0888-613X(87)90015-6 doi: 10.1016/0888-613X(87)90015-6