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Some Cosine Similarity Measures for Picture Fuzzy Sets and Their Applications to Strategic Decision Making
Volume 28, Issue 3 (2017), pp. 547–564
Guiwu Wei  

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https://doi.org/10.15388/Informatica.2017.144
Pub. online: 1 January 2017      Type: Research Article      Open accessOpen Access

Received
1 October 2016
Accepted
1 March 2017
Published
1 January 2017

Abstract

In this paper, we presented another form of eight similarity measures between PFSs based on the cosine function between PFSs by considering the degree of positive membership, degree of neutral membership, degree of negative membership and degree of refusal membership in PFSs. Then, we applied these weighted cosine function similarity measures between PFSs to strategic decision making. Finally, an illustrative example for selecting the optimal production strategy is given to demonstrate the efficiency of the similarity measures for strategic decision making problem.

References

 
Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87–96.
 
Atanassov, K. (1989). More on intuitionistic fuzzy sets. Fuzzy Sets and Systems, 33, 37–46.
 
Bhattacharya, A. (1946). On a measure of divergence of two multinomial populations. Sankhya, 7, 401–406.
 
Bustince, H., Barrenechea, E., Pagola, M. (2006). Restricted equivalence functions. Fuzzy Sets and Systems, 157, 2333–2346.
 
Bustince, H., Barrenechea, E., Pagola, M. (2007). Image thresholding using restricted equivalence functions and maximizing the measures of similarity. Fuzzy Sets and Systems, 158, 496–516.
 
Bustince, H., Barrenechea, E., Pagola, M. (2008). Relationship between restricted dissimilarity functions, restricted equivalence functions and normal E–N functions: image thresholding invariant. Pattern Recognition Letters, 29, 525–536.
 
Chen, T.Y. (2014). Interval-valued intuitionistic fuzzy QUALIFLEX method with a likelihood-based comparison approach for multiple criteria decision analysis. Information Sciences, 261, 149–169.
 
Cuong, B.C. (2014). Picture fuzzy sets. Journal of Computer Science and Cybernetics, 30(4), 409–420.
 
Hung, K.C. (2012). Applications of medical information: Using an enhanced likelihood measured approach based on intuitionistic fuzzy sets. IIE Transactions on Healthcare Systems Engineering, 2, 224–231.
 
Hung, W.L., Yang, M.S. (2004). Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance. Pattern Recognition Letters, 25, 1603–1611.
 
Hung, W.L., Yang, M.S. (2007). Similarity measures of intuitionistic fuzzy sets based on Lp metric. International Journal of Approximate Reasoning, 46, 120–136.
 
Lee, S.H., Pedrycz, W., Sohn, G. (2009). Design of similarity and dissimilarity measures for fuzzy sets on the basis of distance measure. International Journal of Fuzzy Systems, 11, 67–72.
 
Li, D.F., Cheng, C. (2002). New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions. Pattern Recognition Letters, 23, 221–225.
 
Li, Y.H., Olson, D.L., Zheng, Q. (2007). Similarity measures between intuitionistic fuzzy (vague) sets: a comparative analysis. Pattern Recognition Letters, 28, 278–285.
 
Liang, Z., Shi, P. (2003). Similarity measures on intuitionistic fuzzy sets. Pattern Recognition Letters, 24, 2687–2693.
 
Lin, R., Zhao, X.F., Wei, G.W. (2014). Models for selecting an ERP system with hesitant fuzzy linguistic information. Journal of Intelligent and Fuzzy Systems, 26, 2155–2165.
 
Liu, H.W. (2005). New similarity measures between intuitionistic fuzzy sets and between elements. Mathematical and Computer Modelling, 42, 61–70.
 
Liu, B.S., Shen, Y.H., Zhang, W. (2015). An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making. European Journal of Operational Research, 245, 209–225.
 
Lu, M., Wei, G.W. (2016). Models for multiple attribute decision making with dual hesitant fuzzy uncertain linguistic information. International Journal of Knowledge-Based and Intelligent Engineering Systems, 20, 217–227.
 
Lu, M., Wei, G.W., Alsaadi, F.E., Hayat, T., Alsaedi, A. (2017a). Hesitant pythagorean fuzzy hamacher aggregation operators and their application to multiple attribute decision making. Journal of Intelligent and Fuzzy Systems, 33(2), 1105–1117.
 
Lu, M., Wei, G.W., Alsaadi, F.E., Hayat, T., Alsaedi, A. (2017b). Bipolar 2-tuple linguistic aggregation operators in multiple attribute decision making. Journal of Intelligent and Fuzzy Systems, 33(2), 1197–1207.
 
Meng, F.Y., Zhou, D., Chen, X.H. (2016). An approach to hesitant fuzzy group decision making with multi-granularity linguistic information. Informatica, 27, 767–798.
 
Mitchell, H.B. (2003). On the Dengfeng–Chuntian similarity measure and its application to pattern recognition. Pattern Recognition Letters, 24, 3101–3104.
 
Park, J.H., Park, Y., Young, C.K. (2009). Correlation coefficient of interval-valued intuitionistic fuzzy sets and its application to multiple attribute group decision making problems. Mathematical and Computer Modeling, 50, 1279–1293.
 
Rajarajeswari, P., Uma, N. (2013). Intuitionistic fuzzy multi similarity measure based on cotangent function. International Journal of Engineering Research and Technology, 2, 1323–1329.
 
Salton, G., Mcgill, M.J. (1983). Introduction to Modern Information Retrieval. McGrawpHill.
 
Shi, L.L., Ye, J. (2013). Study on fault diagnosis of turbine using an improved cosine similarity measure for vague sets. Journal of Applied Sciences, 13, 1781–1786.
 
Singh, P. (2014). Correlation coefficients for picture fuzzy sets. Journal of Intelligent and Fuzzy Systems, 27, 2857–2868.
 
Son, L. (2015). DPFCM: a novel distributed picture fuzzy clustering method on picture fuzzy sets. Expert System with Applications, 2, 51–66.
 
Son, L.H., Phong, P.H. (2016). On the performance evaluation of intuitionistic vector similarity measures for medical diagnosis. Journal of Intelligent and Fuzzy Systems, 31, 1597–1608.
 
Szmidt, E. (2014). Distances and Similarities in Intuitionistic Fuzzy Sets (Vol. 307). Springer International Publishing, Switzerland.
 
Szmidt, E., Kacprzyk, J. (2000). Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems, 114, 505–518.
 
Tang, Wen L. L, Y., Wei, G.W. (2017). Approaches to multiple attribute group decision making based on the generalized Dice similarity measures with intuitionistic fuzzy information. International Journal of Knowledge-Based and Intelligent Engineering Systems, 21, 85–95.
 
Thong, N.T. (2015). HIFCF: an effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis expert systems with applications. Expert System with Applications, 42, 3682–3701.
 
Thong, P.H., Son, L.H. (2015). A new approach to multi-variable fuzzy forecasting using picture fuzzy clustering and picture fuzzy rule interpolation method. Advances in Intelligent Systems and Computing, 326, 679–690.
 
Tian, M.Y. (2013). A new fuzzy similarity based on cotangent function for medical diagnosis. Advanced Modeling and Optimization, 15, 151–156.
 
Wei, G.W. (2008). Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting. Knowledge-Based Systems, 21, 833–836.
 
Wei, G.W. (2009). Some geometric aggregation functions and their application to dynamic multiple attribute decision making in intuitionistic fuzzy setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 17, 179–196.
 
Wei, G.W. (2010a). GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting. Knowledge-Based Systems, 23, 243–247.
 
Wei, G.W. (2010b). Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making. Applied Soft Computing, 10, 423–431.
 
Wei, G.W. (2011a). Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making. Expert Systems with Applications, 38, 11671–11677.
 
Wei, G.W. (2011b). Grey relational analysis method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information. Expert Systems with Applications, 38, 4824–4828.
 
Wei, G.W. (2011c). Grey relational analysis model for dynamic hybrid multiple attribute decision making. Knowledge-Based Systems, 24, 672–679.
 
Wei, G.W. (2012). Hesitant Fuzzy prioritized operators and their application to multiple attribute group decision making. Knowledge-Based Systems, 31, 176–182.
 
Wei, G.W. (2015). Approaches to interval intuitionistic trapezoidal fuzzy multiple attribute decision making with incomplete weight information. International Journal of Fuzzy Systems, 17, 484–489.
 
Wei, G.W. (2016a). Interval valued hesitant fuzzy uncertain linguistic aggregation operators in multiple attribute decision making. International Journal of Machine Learning and Cybernetics, 7, 1093–1114.
 
Wei, G.W. (2016b). Picture fuzzy cross-entropy for multiple attribute decision making problems. Journal of Business Economics and Management, 17, 491–502.
 
Wei, G.W. (2017a). Interval-valued dual hesitant fuzzy uncertain linguistic aggregation operators in multiple attribute decision making. Journal of Intelligent and Fuzzy Systems, 33(3), 1881–1893.
 
Wei, G.W. (2017b). Picture 2-tuple linguistic Bonferroni mean operators and their application to multiple attribute decision making. International Journal of Fuzzy System, 19(4), 997–1010.
 
Wei, G.W., Merigó, J.M. (2012). Methods for strategic decision making problems with immediate probabilities in intuitionistic fuzzy setting. Scientia Iranica E, 19, 1936–1946.
 
Wei, G.W., Zhao, X.F. (2012a). Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making. Expert Systems with Applications, 39, 5881–5886.
 
Wei, G.W., Zhao, X.F. (2012b). Some induced correlated aggregating operators with intuitionistic fuzzy information and their application to multiple attribute group decision making. Expert Systems with Applications, 39, 2026–2034.
 
Wei, G.W., Wang, J.M. (2017). A comparative study of robust efficiency analysis and data envelopment analysis with imprecise data. Expert Systems with Applications, 81, 28–38.
 
Wei, G.W., Wang, H.J., Lin, R. (2011). Application of correlation coefficient to interval-valued intuitionistic fuzzy multiple attribute decision making with incomplete weight information. Knowledge and Information Systems, 26, 337–349.
 
Wei, G.W., Wang, J.M., Chen, J. (2013a). Potential optimality and robust optimality in multiattribute decision analysis with incomplete information: A comparative study. Decision Support Systems, 55, 679–684.
 
Wei, G.W., Zhao, X.F., Lin, R. (2013b). Some hesitant interval-valued fuzzy aggregation operators and their applications to multiple attribute decision making. Knowledge-Based Systems, 46, 43–53.
 
Wei, G.W., Zhao, X.F., Lin, R. (2013c). Uncertain linguistic Bonferroni mean operators and their application to multiple attribute decision making. Applied Mathematical Modelling, 37, 5277–5285.
 
Wei, G.W., Alsaadi, F.E., Hayat, T., Alsaedi, A. (2016a). Hesitant fuzzy linguistic arithmetic aggregation operators in multiple attribute decision making. Iranian Journal of Fuzzy Systems, 13, 1–16.
 
Wei, G.W., Xu, X.R., Deng, D.X. (2016b). Interval-valued dual hesitant fuzzy linguistic geometric aggregation operators in multiple attribute decision making. International Journal of Knowledge-based and Intelligent Engineering Systems, 20, 189–196.
 
Wei, G.W., Alsaadi, F.E., Hayat, T. (2017). A linear assignment method for multiple criteria decision analysis with hesitant fuzzy sets based on fuzzy measure. International Journal of Fuzzy Systems, 19, 607–614.
 
Wu, J., Chiclana, F. (2014). A risk attitudinal ranking method for interval-valued intuitionistic fuzzy numbers based on novel attitudinal expected score and accuracy functions. Applied Soft Computing, 22, 272–286.
 
Xu, Z.S., Xia, M.M. (2010). Some new similarity measures for intuitionistic fuzzy values and their application in group decision making. Journal of System Science and Engineering, 19, 430–452.
 
Ye, J. (2010). Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. European Journal of Operational Research, 205, 202–204.
 
Ye, J. (2011). Cosine similarity measures for intuitionistic fuzzy sets and their applications. Mathematical and Computer Modelling, 53, 91–97.
 
Ye, J. (2016). Similarity measures of intuitionistic fuzzy sets based on cosine function for the decision making of mechanical design schemes. Journal of Intelligent and Fuzzy Systems, 30, 151–158.
 
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–356.
 
Zhao, X.F., Wei, G.W. (2013). Some Intuitionistic fuzzy Einstein hybrid aggregation operators and their application to multiple attribute decision making. Knowledge-Based Systems, 37, 472–479.
 
Zhao, X.F., Lin, R., Wei, G.W. (2014). Hesitant triangular fuzzy information aggregation based on Einstein operations and their application to multiple attribute decision making. Expert Systems with Applications, 41, 1086–1094.
 
Zhou, L.Y., Lin, R., Zhao, X.F. (2013). Uncertain linguistic prioritized aggregation operators and their application to multiple attribute group decision making. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21, 603–627.

Biographies

Wei Guiwu
weiguiwu@163.com

G.W. Wei has an MSc and a PhD degree in applied mathematics from SouthWest Petroleum University, Business Administration from school of Economics and Management at SouthWest Jiaotong University, China, respectively. From May 2010 to April 2012, he was a postdoctoral researcher with the School of Economics and Management, Tsinghua University, Beijing, China. He is a professor in the School of Business at Sichuan Normal University. He has published more than 90 papers in journals, books and conference proceedings including journals such as Omega, Decision Support Systems, Expert Systems with Applications, Applied Soft Computing, Knowledge and Information Systems, Computers & Industrial Engineering, Knowledge-Based Systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, International Journal of Computational Intelligence Systems and Information: An International Interdisciplinary Journal. He has published 1 book. He has participated in several scientific committees and serves as a reviewer in a wide range of journals including Computers & Industrial Engineering, International Journal of Information Technology and Decision Making, Knowledge-Based Systems, Information Sciences, International Journal of Computational Intelligence Systems and European Journal of Operational Research. He is currently interested in aggregation operators, decision making and computing with words.


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Keywords
strategic decision making; picture fuzzy set cosine function cosine similarity measure optimal production strategy

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