Abstract
Distance and similarity measures are popular due to various applications across different fields, including clustering, classification, information retrieval, decision-making, and image and pattern recognition. Pythagorean fuzzy sets (PFSs) are more efficient than fuzzy sets (FSs) and intuitionist fuzzy sets (IFSs) in dealing with all kinds of uncertain and incomplete information related to real life. Since PFSs and interval-valued fuzzy sets (IVFs) are isomorphic to each other, so the interval values can be used to represent the distance between two PFSs uniquely. Therefore, in this article, we utilize the concept of Pythagorean fuzzy interval values to construct a new distance between two PFSs based on Lp metric. Furthermore, the suggested distance is used to construct several similarity measures between PFSs using simple and reasonable functions. Newly established distance and similarity measures between Pythagorean fuzzy sets satisfy all the required axioms. To show the reasonability, comparison analysis is conducted with existing one in an application to pattern recognition. The numerical comparison results reveal that our proposed method works better than the existing method. To reveal practical applicability and usefulness, we put forwarded an algorithm Pythagorean Vlsekriterijumsko Kompromisno Rangiranje in Serbian, means multicriteria optimization and compromise solution (P-VIKOR) based on our suggested method and applied it to solve daily life issues involving complex multicriteria decision-making (MCDM) process. Finally, we utilize our proposed similarity measure to establish Pythagorean clustering. Numerical results and practical applications demonstrate that the given approaches are practically applicable, reasonable, and reliable in dealing with a variety of complex problems carrying uncertainty and vague information in everyday life.
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References
Abbas S, Hussain Z, Hussain S, Sharif R, Hussain S (2021) Intuitionistic fuzzy entropy and its applications to multicriteria decision making with IF-TODIM. J Mech Continua Math Sci 16(7):99–119
Agheli B, Firozja MA, Garg H (2021) Similarity measure for pythagorean fuzzy sets and application on multicriteria decision making. J Stat Manag Syst 25(4):749–769
Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Set Syst 20:87–96
Bookstein A, Klein ST, Raita T (2001) Fuzzy hamming distance: a new dissimilarity measure. In: Paper presented at the annual symposium on combinatorial pattern matching
Chaudhuri BB, Rosenfeld A (1999) A modified hausdorff distance between fuzzy sets. Inf Sci 118(1–4):159–171
Dinar J, Hussain Z, Zaman S, Rahman SU (2022) Wiener index for an intuitionistic fuzzy graph and its application in water pipeline network. Ain Shams Eng J. https://doi.org/10.1016/j.asej.2022.101826
Ejegwa PA (2020) Distance and similarity measures for Pythagorean fuzzy sets. Granul Comput 5:225–238
Garg H (2016) A novel correlation coefficients between pythagorean fuzzy sets and its applications to decision-making processes. Int J Intell Syst 31(12):1234–1252
Garg H (2018) Linguistic pythagorean fuzzy sets and its applications in multiattribute decision- making process. Int J Intell Syst 33(6):1234–1263
Garg H, Munir M, Ullah K, Mahmood T, Jan N (2018) Algorithm for T-spherical fuzzy multi-attribute decision making based on improved interactive aggregation operators. Symmetry 10(12):670. https://doi.org/10.3390/sym10120670
Hung WL, Yang MS (2004) Similarity measures of intuitionistic fuzzy sets based on hausdorff distance. Pattern Recogn Lett 25(14):1603–1611
Hung WL, Yang MS (2007) Similarity measures of intuitionistic fuzzy sets based on Lp metric. Int J Approx Reason 46(1):120–136
Hussain Z, Yang MS (2018) Entropy for hesitant fuzzy sets based on Hausdorff metric with construction of hesitant fuzzy TOPSIS. Int J Fuzzy Syst 20:8. https://doi.org/10.1007/s40815-018-0523-2
Hussian Z, Yang MS (2019) Distance and similarity measure of pythagorean fuzzy sets based on Hausdorff metrix with application to fuzzy TOPSIS. J Intell Syst 34(10):2633–2654
Hussain Z, Abbas S, Hussain S, Ali Z, Jabeen G (2021a) Similarity measures of Pythagorean fuzzy sets with applications to pattern recognition and multicriteria decision making with Pythagorean TOPSIS. J Mech Cont Math Sci. https://doi.org/10.26782/jmcms.2021.06.00006
Hussain M, Hussain Z, Sharif R, Abbas S (2021b) Novel entropy measure of a fuzzy set and its application to multicriteria decision making with TOPSIS. J Mech Cont Math Sci 16:7
Hussain Z, Abbas S, Rahman S, Hussain R, Sharif R (2022a) Belief and plausibility measures on Pythagorean fuzzy sets and its applications with BPI-VIKOR. J Intell Fuzzy Syst 1–15
Hussain Z, Abbas S, Yang MS (2022b) Distances and similarity measures of q-Rung orthopair fuzzy sets based on the Hausdorff metric with the construction of orthopair fuzzy TODIM. Symmetry 14(11):2467. https://doi.org/10.3390/sym14112467
Hussain Z, Khanum K, Rahman S, Hussain R (2023a) Similarity measure between Pythagorean fuzzy sets based on lower, upper and middle fuzzy sets with applications to pattern recognition and multicriteria decision making with PF-TODIM. Songklanakarin J Sci Technol 45:1
Hussain Z, Alam S, Hussain R, Rahman S (2023b) New similarity measure of Pythagorean fuzzy sets based on the Jaccard index with its application to clustering. Ain Shams Eng J. https://doi.org/10.1016/j.asej.2023.102294
Hwang CM, Yang MS, Hung WL (2018) New similarity measures of intuitionistic fuzzy sets based on the jaccard index with its application to clustering. Int J Intell Syst 33(8):1672–1688
Kaushal M, Garg H, Danish Lohani QM (2023) Global intuitionistic fuzzy weighted C-ordered means clustering algorithm. Inf Sci 642:119087. https://doi.org/10.1016/j.ins.2023.119087
Liang Z, Shi P (2003) Similarity measures on intuitionistic fuzzy sets. Pattern Recogn Lett 24:2687–2693
Mahmood T, Ullah K, Khan Q et al (2019) An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets. Neural Comput Appl 31:7041–7053. https://doi.org/10.1007/s00521-018-3521-2
Mahmood T, Rehman UU, Jaleel A, Ahmmad J, Chinram R (2022) Bipolar complex fuzzy soft sets and their applications in decision-making. Mathematics 10(7):1048. https://doi.org/10.3390/math10071048
Mahmood T, Rehman UU, Ali Z (2023) Analysis and application of Aczel-Alsina aggregation operators based on bipolar complex fuzzy information in multiple attribute decision making. Inf Sci 619:817–833. https://doi.org/10.1016/j.ins.2022.11.067
Mohd R, Abdullah L (2019) The VIKOR method with Pythagorean fuzzy sets and their applications. https://doi.org/10.1007/978-981-13-7279-7_24
Peng X, Yang Y (2015) Some results for pythagorean fuzzy sets. Int J Intell Syst 30(11):1133–1160
Reformat MZ, Yager RR (2014) Suggesting recommendations using pythagorean fuzzy sets illustrated using netflix movie data. In: Paper presented at the international conference on information processing and management of uncertainty in knowledge-based systems
Riaz M, Naeem K, Afzal D (2020) A similarity measure under Pythagorean fuzzy soft environment with applications. Comput Appl Math 39:269. https://doi.org/10.1007/s40314-020-01321-5
Riaz M, Pamucar D, Habib A, Riaz M (2021) A new TOPSIS approach using cosine similarity measures and cubic bipolar fuzzy information for sustainable plastic recycling process. Math Probl Eng 2021:1–18
Riaz M et al (2022) Distance and similarity measures for bipolar fuzzy soft sets with application to pharmaceutical logistics and supply chain management, pp 3169–3188
Rosenfeld A (1985) Distances between fuzzy sets. Pattern Recogn Lett 3(4):229–233
Sharif R, Hussain Z, Hussain S, Abbas S, Hussain I (2021) A novel fuzzy entropy measure and its application in Covid-19 with fuzzy TOPSIS. J Mech Cont Math Sci 16(16):52–63. https://doi.org/10.26782/jmcms.2021.06.00005
Szmidt E, Kacprzyk J (2000) Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst 114(3):505–518
Wang XK (2014) Multicriteria direct clustering method based on hesitant fuzzy sets. In: Paper presented at the 26th Chinese control and decision conference (2014 CCDC)
Wei G, Wei Y (2018) Similarity measures of pythagorean fuzzy sets based on the cosine function and their applications. Int J Intell Syst 33(3):634–652
Yager RR (2013) Pythagorean fuzzy subsets. In: Paper presented at the 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS)
Yager RR, Abbasov AM (2013) Pythagorean membership grades, complex numbers, and decision making. Int J Intell Syst 28:436–452
Yang MS, Hussain Z (2018) Fuzzy entropy for Pythagorean fuzzy sets with application to multicriterion decision making. Complexity. https://doi.org/10.1155/2018/2832839
Yang W, Pang Y (2018) Hesitant interval valued PF-VIKOR method. Int J Int System
Yang MS, Wu KL (2004) A similarity-based robust clustering method. IEEE Trans Pattern Anal Mach Intell 26:434–448
Yang MS, Hussain Z, Ali M (2020) Belief and plausibility measure on IFSs with construction of belief-plausibility TOPSIS. Complexity 2020
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Zhang X, Xu Z (2014) Extension of topsis to multiple criteria decision making with pythagorean fuzzy sets. Int J Intell Syst 29(12):1061–1078
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Hussain, Z., Afzal, H., Hussain, R. et al. Similarity measures of Pythagorean fuzzy sets based on Lp metric and its applications to multicriteria decision-making with Pythagorean VIKOR and clustering. Comp. Appl. Math. 42, 301 (2023). https://doi.org/10.1007/s40314-023-02420-9
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DOI: https://doi.org/10.1007/s40314-023-02420-9