[1] Abdoos E., Ahmadvand A., Eghbali H. 2018. “A novel algorithm between fuzzy number’s distance in facility location”, International Journal of Management and Fuzzy Systems, 4, 74-86.
[2] Akbari M.G., Hesamian G. 2018. “Linear model with exact inputs and interval-valued fuzzy outputs”, IEEE Transactions on Fuzzy Systems, 26, 518-530.
[3] Abbasbandy S., Hajighasemi S. 2006. “Ranking of fuzzy numbers by sign distance”, Information Sciences, 176, 2405-2416.
[4] Abbasbandy S., Hajighasemi S. 2010. “A fuzzy distance between two fuzzy numbers, in Information Processing and Management of Uncertainty in Knowledge-Based Systems”, Applications Communications in Computer and Information Science, 81, 376-382.
[5] Adabitabar Firozja M., Fath-Tabar G.H., Eslampia Z. 2012. “The similarity measure of generalized fuzzy numbers based on interval distance”, Applied Mathematics Letters, 25, 1528-1534.
[6] Amirfakhrian M., Yeganehmanesh M., SH., Grzegorzewski P. 2018. “A new distance on fuzzy semi-numbers”, Soft Computing, 22, 4511-4524.
[7] Beigi M.A., Khani E.G., Hajjari T. 2015. “A theoretical development on fuzzy distance measure”, Journal of Mathematical Extension, 9, 15–38.
[8] Bloch I. 1999. “On fuzzy distances and their use in image processing under imprecision”, Pattern Recognition, 32, 1873-1895.
[9] Bortolan G., Degani R.A. 1985. “Review of some methods for ranking fuzzy subsets”, Fuzzy Sets and Systems, 15, 1-19.
[10] Chakraborty C., Chakraborty D. 2006. “A theoretical development on a fuzzy distance measure for fuzzy numbers”, Mathematical and Computer Modeling, 43, 254-261.
[11] Chai K.C., Tay K.M., Lim C.P. 2015. “A new sign distance-based ranking method for fuzzy numbers”. In Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems-Volume 2 (pp. 55-64), Springer International Publishing.
[12] Chen S.H., Hsieh C.H. 1998. “Graded mean integration representation of generalized fuzzy number”, Proceeding of TFSA.
[13] Chen S.H., Wang C.C. 2007. “Fuzzy distance using fuzzy absolute value”, Proceeding of the eighth International Conference on Machine Learning and Cybernetics, Baoding, 12-15.
[14] Chen S.H., Hsieh C.H. 2000. “Representation, ranking, distance, and similarity of LR type fuzzy number and application”, Australia Journal of Intelligent Information Processing Systems, 6, pp. 217-229, Australia.
[15] Du W.S., Hu B.Q. 2015. “Aggregation distance measure and its induced similarity measure between intuitionistic fuzzy sets”, Pattern Recognition Letters, 60-61, 65-71.
[16] Ganbari M., Nuraei R. 2013. “Revision of a fuzzy distance measure”, International Journal of Industrial Mathematics, 5, 143-147.
[17] Grzegorzewski P. 2004. “Distances between intuitionistic fuzzy sets and/or interval-valued
fuzzy sets based on the Hausdorff metric”, Fuzzy Sets and Systems, 148, 319-328.
[18] Guha D., Chakraborty D. 2010. “A new approach to fuzzy distance measure and similarity measure between two generalized fuzzy numbers”, Applied Soft Computing, 10, 90-99.
[19] Gong Z., Xu X., Yang Y., Zhou Y., Zhang H. 2016. “The spherical distance for intuitionistic fuzzy sets and its application in decision analysis”, Technological and Economic Development of Economy, 22, 393-415.
[20] Guo W., Bi L., Hu B., Dai S. 2020. “Cosine similarity measure of complex fuzzy sets and robustness of complex fuzzy connectives”, Mathematical Problems in Engineering.
https://doi.org/10.1155/2020/6716819.
[21] Hajjari T., Abbasbandy S. 2011. “A note on the revised method of ranking LR-fuzzy number based on deviation degree”, Expert Systems with Applications, 13491-13492.
[22] Hajjari T. 2011. “New approach for distance measure of fuzzy numbers”, International Conference on Operations Research and Optimization, IPM, Tehran, Iran.
[23] Hesamian G., Akbari M. 2017. “Semi-parametric partially logistic regression model with exact inputs and intuitionistic fuzzy outputs”, Applied Soft Computing, 58, 517–526.
[24] Hesamian G., and Akbari M.G. 2018. “Fuzzy absolute error distance measure based on a generalized difference operation”, International Journal of Systems Science, 49, 2454-2462.
[25] Hesamian G., Shams M. 2016. “Parametric testing statistical hypotheses for fuzzy random variables”, Soft Computing, 20, 1537-1548.
[26] Heilpern S. 1997. “Representation and application of fuzzy numbers”, Fuzzy Sets and Systems, 91, 259-268.
[27] Hsieh C.H., Chen S.H. 1998. “Graded mean representation distance of generalized fuzzy number”, Proceeding of sixth Conference on Fuzzy Theory and its Applications (CD ROM), filename 032.wdl, pp. 1-5, Chinese Fuzzy Systems Association, Taiwan.
[28] Jiangxia N., Ting W., Jingjing A. 2016. “Intuitionistic fuzzy distance-based TOPSIS method and application to MADM”, International Journal of Fuzzy System Applications, 5, 43-56.
[29] Kaufmann A., Gupta M.M. 1991. “Introduction to fuzzy arithmetic theory and applications”, Van Nostrand Reinhold.
[30] Lee K.H. 2005. “First course on fuzzy theory and applications”, Springer-Verlag, Berlin.
[31] Li D., Zeng W. 2018. “Distance measure of Pythagorean fuzzy sets”, International Journal of Intelligent Systems, 33, 348-361.
[32] Liu X. 1992. “Entropy, distance measure and similarity measure of fuzzy sets and their relations”, Fuzzy Sets and Systems, 52, 305-318.
[33] Pedrycz W. 2007. “Collaborative and knowledge-based fuzzy clustering”, International journal of Innovating computing, 3, 1-12.
[34] Ren H., Luo L. 2020. “A novel distance of intuitionistic trapezoidal fuzzy numbers and its based prospect theory algorithm in multi-attribute decision-making model”, Mathematical Biosciences and Engineering, 17, 24-23.
[35] Sadi-Nezhad S., Noroozi-yadak A., Makui A. 2013. “Fuzzy distance of triangular fuzzy numbers”, Journal of Intelligent & Fuzzy Systems, 25, 845-852.
[36] Saha P.K., Wehrli F.W., Gomberg B.R. 2002. “Fuzzy distance transform: Theory”, Algorithms and Applications, Computer Vision and Image Understanding, 86, 171-190.
[37] Sen S., Patra K., Mondal S.K. 2020. “A new approach to similarity measure for generalized trapezoidal fuzzy numbers and its application to fuzzy risk analysis”, Granular Computation.
https://doi.org/10.1007/s41066-020-00227-1.
[38] Stein E. 1970. “Singular integrals and differentiability properties of functions”, Princeton University Press.
[39] Szmidt E., Kacprzyk J. 2000. “Distances between intuitionistic fuzzy sets”, Fuzzy Sets and Systems, 114, 505-518.
[40] Tran L., Duckstein L. 2002. “Comparison of fuzzy numbers using fuzzy distance measure”, Fuzzy Sets and Systems, 130, 231-341.
[41] Voxman W. 1998. “Some remarks on distances between fuzzy numbers”, Fuzzy Sets and Systems, 100, 353-365.
[42] Wang W., Xin X. 2005. “Distance measure between intuitionistic fuzzy sets”, Pattern Recognition Letters, 26, 2063-2069.
[43] Xu Z.S., Chen J. 2008. “An overview of distance and similarity measures of intuitionistic fuzzy sets”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16, 529-555.
[44] Xu Z.S. 2010. “A method based on distance measure for interval-valued intuitionistic fuzzy group decision making”, Information Sciences, 180, 181-190.
[45] Yang Y., Chiclana F. 2012. “Consistency of 2D and 3D distances of intuitionistic fuzzy sets”, Expert Systems with Applications, 39, 8665-8670.
[46] Yuan Y. 1991. “Criteria for evaluating fuzzy ranking methods”, Fuzzy Sets and Systems, 43, 139-157.
[47] Zadeh L.A. 1965. “Fuzzy sets”, Information Control, 8, 338-356.
[48] Zhang H., Yu L. 2013. “New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets”, Information Sciences, 245, 181-196.
[49] Zhou L., Jin F. Chen H., Liu J. 2016. “Continuous intuitionistic fuzzy ordered weighted distance measure and its application to group decision making”, Technological and Economic Development of Economy, 22, 75-99.