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Erschienen in: Soft Computing 2/2021

27.07.2020 | Methodologies and Application

Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight

verfasst von: Lei Wang, Harish Garg, Na Li

Erschienen in: Soft Computing | Ausgabe 2/2021

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Abstract

Reasonable and effective assessment of express service quality can help express company discover its own shortcomings and overcome them, which is crucial significant to enhance its service quality. When considering the decision assessment of express company, the key issue that emerge powerful ambiguity. Pythagorean fuzzy set as an efficient math tool can capture the indeterminacy successfully. The major focus of this manuscript is to explore various interactive Hamacher power aggregation operators for Pythagorean fuzzy numbers. Firstly, we defined novel interactive Hamacher operation, on this basis we presented some Pythagorean fuzzy interactive Hamacher power aggregation operators such as Pythagorean fuzzy interactive Hamacher power average, weighted average (PFIHPWA), ordered weighted average, Pythagorean fuzzy interactive Hamacher power geometric, weighted geometric (PFIHPWG) and ordered geometric operators,respectively. Meanwhile, we verified their general properties and specific cases as well. The salient feature of proposed operators is that they can not only reduce the impact of negative data and consider the interactions between membership and nonmembership degrees, but also provide more general results through a parameter. Secondly, we defined a Pythagorean fuzzy entropy measure, and then establish a method to determine the attribute weights. Further, based on the conceived PFIHPWA and PFIHPWG operators we explored a novel approach to manage multiple attribute decision making problems. At last, the proposed techniques are carried out in a real application concerning on the assessment of express service quality to display the applicability and effectiveness, as well as the influence of changed parameters on the results. In addition, its advantages are displayed by a systematic comparison with relevant approaches.

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Literatur
Zurück zum Zitat Akram M, Ilyas F, Garg H (2020) Multi-criteria group decision making based on ELECTRE-I method on Pythagorean fuzzy information. Soft Comput 24(5):3425–3453CrossRef Akram M, Ilyas F, Garg H (2020) Multi-criteria group decision making based on ELECTRE-I method on Pythagorean fuzzy information. Soft Comput 24(5):3425–3453CrossRef
Zurück zum Zitat Athira TM, John SJ, Garg H (2020) A novel entropy measure of Pythagorean fuzzy soft sets. AIMS Math 5(2):1050–1061MathSciNetCrossRef Athira TM, John SJ, Garg H (2020) A novel entropy measure of Pythagorean fuzzy soft sets. AIMS Math 5(2):1050–1061MathSciNetCrossRef
Zurück zum Zitat Chen T (2018) An effective correlation-based compromise approach for multiple criteria decision analysis with Pythagorean fuzzy information. J Intell Fuzzy Syst 35(3):3529–3541CrossRef Chen T (2018) An effective correlation-based compromise approach for multiple criteria decision analysis with Pythagorean fuzzy information. J Intell Fuzzy Syst 35(3):3529–3541CrossRef
Zurück zum Zitat Fan X, Zheng M (2012) Empirical analysis of express service quality based on fuzzy comprehensive evaluation. Appl Mech Mater 121:4456–4460 Fan X, Zheng M (2012) Empirical analysis of express service quality based on fuzzy comprehensive evaluation. Appl Mech Mater 121:4456–4460
Zurück zum Zitat Gao H (2018) Pythagorean fuzzy Hamacher prioritized aggregation operators in multiple attribute decision making. J Intell Fuzzy Syst 35:2229–2245CrossRef Gao H (2018) Pythagorean fuzzy Hamacher prioritized aggregation operators in multiple attribute decision making. J Intell Fuzzy Syst 35:2229–2245CrossRef
Zurück zum Zitat Gao H, Lu M, Wei GW, Wei Y (2018) Some novel Pythagorean fuzzy interaction aggregation operators in multiple attribute decision making. Fund Inform 159:385–428MathSciNetMATH Gao H, Lu M, Wei GW, Wei Y (2018) Some novel Pythagorean fuzzy interaction aggregation operators in multiple attribute decision making. Fund Inform 159:385–428MathSciNetMATH
Zurück zum Zitat Garg H (2016) A new generalized Pythagorean fuzzy information aggregation using Einstein operations and its application to decision making. Int J Intell Syst 31:886–920CrossRef Garg H (2016) A new generalized Pythagorean fuzzy information aggregation using Einstein operations and its application to decision making. Int J Intell Syst 31:886–920CrossRef
Zurück zum Zitat Garg H (2016) Some series of intuitionistic fuzzy interactive averaging aggregation operators. Springer Plus 5(1):1–27CrossRef Garg H (2016) Some series of intuitionistic fuzzy interactive averaging aggregation operators. Springer Plus 5(1):1–27CrossRef
Zurück zum Zitat Garg H (2017) Generalized Pythagorean fuzzy geometric aggregation operators using Einstein t-norm and t-conorm for multi-criteria decision making process. Int J Intell Syst 32:597–630CrossRef Garg H (2017) Generalized Pythagorean fuzzy geometric aggregation operators using Einstein t-norm and t-conorm for multi-criteria decision making process. Int J Intell Syst 32:597–630CrossRef
Zurück zum Zitat Garg H (2018a) Linguistic Pythagorean fuzzy sets and its applications in multiattribute decision-making process. Int J Intell Syst 33(1):1234–1263CrossRef Garg H (2018a) Linguistic Pythagorean fuzzy sets and its applications in multiattribute decision-making process. Int J Intell Syst 33(1):1234–1263CrossRef
Zurück zum Zitat Garg H (2018b) Hesitant Pythagorean fuzzy sets and their aggregation operators in multiple-attribute decision-making. Int J Uncertain Quantif 8(3):267–289MathSciNetCrossRef Garg H (2018b) Hesitant Pythagorean fuzzy sets and their aggregation operators in multiple-attribute decision-making. Int J Uncertain Quantif 8(3):267–289MathSciNetCrossRef
Zurück zum Zitat Garg H (2018c) Generalised Pythagorean fuzzy geometric interactive aggregation operators using Einstein operations and their application to decision making. J Exp Theor Artif Intell 30(6):763–794CrossRef Garg H (2018c) Generalised Pythagorean fuzzy geometric interactive aggregation operators using Einstein operations and their application to decision making. J Exp Theor Artif Intell 30(6):763–794CrossRef
Zurück zum Zitat Garg H (2019b) Novel neutrality operations based Pythagorean fuzzy geometric aggregation operators for multiple attribute group decision analysis. Int J Intell Syst 34(10):2459–2489CrossRef Garg H (2019b) Novel neutrality operations based Pythagorean fuzzy geometric aggregation operators for multiple attribute group decision analysis. Int J Intell Syst 34(10):2459–2489CrossRef
Zurück zum Zitat Grabisch M, Marichal JL, Mesiar R, Pap E (2009) Aggregation functions. Encyclopedia of mathematics and its applications, vol 127. Cambridge University Press, CambridgeMATH Grabisch M, Marichal JL, Mesiar R, Pap E (2009) Aggregation functions. Encyclopedia of mathematics and its applications, vol 127. Cambridge University Press, CambridgeMATH
Zurück zum Zitat Hamachar H (1978) Uber logische verknunpfungenn unssharfer Aussagen und deren Zugenhorige Bewertungsfunktione Trappl. Progr Cybern Syst Res 3:276–288 Hamachar H (1978) Uber logische verknunpfungenn unssharfer Aussagen und deren Zugenhorige Bewertungsfunktione Trappl. Progr Cybern Syst Res 3:276–288
Zurück zum Zitat Klement EP, Mesiar R, Pap E (2000) Triangular norms, trends in logics. Kluwer Academic Publishers, DordrechtMATHCrossRef Klement EP, Mesiar R, Pap E (2000) Triangular norms, trends in logics. Kluwer Academic Publishers, DordrechtMATHCrossRef
Zurück zum Zitat Klement EP, Mesiar R, Pap E (2004) Triangular norms II: general constructions and parameterized families. Fuzzy Sets Syst 145:411–438MathSciNetMATHCrossRef Klement EP, Mesiar R, Pap E (2004) Triangular norms II: general constructions and parameterized families. Fuzzy Sets Syst 145:411–438MathSciNetMATHCrossRef
Zurück zum Zitat Li N, Garg H, Wang L (2019) Some novel interactive hybrid weighted aggregation operators with Pythagorean fuzzy numbers and their applications to decision making. Mathematics 7(12):1150CrossRef Li N, Garg H, Wang L (2019) Some novel interactive hybrid weighted aggregation operators with Pythagorean fuzzy numbers and their applications to decision making. Mathematics 7(12):1150CrossRef
Zurück zum Zitat Li Y, Garg H, Deng Y (2020) A new uncertainty measure of discrete Z-numbers. Int J Fuzzy Syst 22(3):760–776MathSciNetCrossRef Li Y, Garg H, Deng Y (2020) A new uncertainty measure of discrete Z-numbers. Int J Fuzzy Syst 22(3):760–776MathSciNetCrossRef
Zurück zum Zitat Liang D, Xu Z (2017) The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets. Appl Soft Comput 60:167–179CrossRef Liang D, Xu Z (2017) The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets. Appl Soft Comput 60:167–179CrossRef
Zurück zum Zitat Liang D, Zhang Y, Xu Z, Jamaldeen A (2019a) Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry. Appl Soft Comput 78:583–594CrossRef Liang D, Zhang Y, Xu Z, Jamaldeen A (2019a) Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry. Appl Soft Comput 78:583–594CrossRef
Zurück zum Zitat Liang DC, Darko AP, Xu ZS (2019b) Pythagorean fuzzy partitioned geometric Bonferroni mean and its application to multi-criteria group decision making with grey relational analysis. Int J Fuzzy Syst 21(1):115–128MathSciNetCrossRef Liang DC, Darko AP, Xu ZS (2019b) Pythagorean fuzzy partitioned geometric Bonferroni mean and its application to multi-criteria group decision making with grey relational analysis. Int J Fuzzy Syst 21(1):115–128MathSciNetCrossRef
Zurück zum Zitat Liu M, Ren H (2015) A study of multi-attribute decision making based on a new intuitionistic fuzzy entropy measure. Syst Eng Theory Pract 35(11):2909–2916 Liu M, Ren H (2015) A study of multi-attribute decision making based on a new intuitionistic fuzzy entropy measure. Syst Eng Theory Pract 35(11):2909–2916
Zurück zum Zitat Ma ZM, Xu ZS (2016) Symmetric Pythagorean fuzzy weighted geometric/averaging operators and their application in multi-attribute decision-making problems. Int J Intell Syst 31(12):1198–1219CrossRef Ma ZM, Xu ZS (2016) Symmetric Pythagorean fuzzy weighted geometric/averaging operators and their application in multi-attribute decision-making problems. Int J Intell Syst 31(12):1198–1219CrossRef
Zurück zum Zitat Meshram SG, Alvandi E, Singh VP, Meshram C (2019) Comparison of AHP and fuzzy AHP models for prioritization of watersheds. Soft Comput 23(24):13615–13625CrossRef Meshram SG, Alvandi E, Singh VP, Meshram C (2019) Comparison of AHP and fuzzy AHP models for prioritization of watersheds. Soft Comput 23(24):13615–13625CrossRef
Zurück zum Zitat Peng XD, Dai JG (2017) Approaches to Pythagorean fuzzy stochastic multi-criteria decision making based on prospect theory and regret theory with new distance measure and score function. Int J Intell Syst 32(11):1187–1214CrossRef Peng XD, Dai JG (2017) Approaches to Pythagorean fuzzy stochastic multi-criteria decision making based on prospect theory and regret theory with new distance measure and score function. Int J Intell Syst 32(11):1187–1214CrossRef
Zurück zum Zitat Peng XD, Dai JG (2019) Research on the assessment of classroom teaching quality with q-rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance-based assessment. Int J Intell Syst 34:1588–1630CrossRef Peng XD, Dai JG (2019) Research on the assessment of classroom teaching quality with q-rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance-based assessment. Int J Intell Syst 34:1588–1630CrossRef
Zurück zum Zitat Peng XD, Garg H (2019) Multiparametric similarity measures on Pythagorean fuzzy sets with applications to pattern recognition. Appl Intell 49:4058–4096CrossRef Peng XD, Garg H (2019) Multiparametric similarity measures on Pythagorean fuzzy sets with applications to pattern recognition. Appl Intell 49:4058–4096CrossRef
Zurück zum Zitat Peng XD, Liu L (2019) Information measures for q-rung orthopair fuzzy sets. Int J Intell Syst 34(8):1795–1834CrossRef Peng XD, Liu L (2019) Information measures for q-rung orthopair fuzzy sets. Int J Intell Syst 34(8):1795–1834CrossRef
Zurück zum Zitat Peng XD, Selvachandran G (2019) Pythagorean fuzzy set: state of the art and future directions. Artif Intell Rev 52(3):1873–1927CrossRef Peng XD, Selvachandran G (2019) Pythagorean fuzzy set: state of the art and future directions. Artif Intell Rev 52(3):1873–1927CrossRef
Zurück zum Zitat Qin J (2017) Generalized Pythagorean fuzzy maclaurin symmetric means and its application to multiple attribute SIR group decision model. Int J Fuzzy Syst 20(1):1–15MathSciNet Qin J (2017) Generalized Pythagorean fuzzy maclaurin symmetric means and its application to multiple attribute SIR group decision model. Int J Fuzzy Syst 20(1):1–15MathSciNet
Zurück zum Zitat Wang L, Li N (2019) Continuous interval-valued Pythagorean fuzzy aggregation operators for multiple attribute group decision making. J Intell Fuzzy Syst 36:6245–6263CrossRef Wang L, Li N (2019) Continuous interval-valued Pythagorean fuzzy aggregation operators for multiple attribute group decision making. J Intell Fuzzy Syst 36:6245–6263CrossRef
Zurück zum Zitat Wang L, Li N (2020) Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making. Int J Intell Syst 35(1):150–183CrossRef Wang L, Li N (2020) Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making. Int J Intell Syst 35(1):150–183CrossRef
Zurück zum Zitat Wei GW (2017) Pythagorean fuzzy interaction aggregation operators and their application to multiple attribute decision making. Int J Fuzzy Syst 33(4):2119–2132MATH Wei GW (2017) Pythagorean fuzzy interaction aggregation operators and their application to multiple attribute decision making. Int J Fuzzy Syst 33(4):2119–2132MATH
Zurück zum Zitat Wei GW (2019) Pythagorean fuzzy Hamacher power aggregation operators in multiple attribute decision making. Fund Inf 166:57–85MathSciNetMATH Wei GW (2019) Pythagorean fuzzy Hamacher power aggregation operators in multiple attribute decision making. Fund Inf 166:57–85MathSciNetMATH
Zurück zum Zitat Wei GW, Lu M (2018) Pythagorean fuzzy power aggregation operators in multiple attribute decision making. Int J Intell Syst 33:169–186CrossRef Wei GW, Lu M (2018) Pythagorean fuzzy power aggregation operators in multiple attribute decision making. Int J Intell Syst 33:169–186CrossRef
Zurück zum Zitat Wu SJ, Wei GW (2017) Pythagorean fuzzy Hamacher aggregation operators and their application to multiple attribute decision making. Int J Knowl Based Intell Eng Syst 21(3):189–201 Wu SJ, Wei GW (2017) Pythagorean fuzzy Hamacher aggregation operators and their application to multiple attribute decision making. Int J Knowl Based Intell Eng Syst 21(3):189–201
Zurück zum Zitat Xu Z, Yager RR (2010) Power-geometric operators and their use in group decision making. IEEE Trans Fuzzy Syst 18(1):94–105CrossRef Xu Z, Yager RR (2010) Power-geometric operators and their use in group decision making. IEEE Trans Fuzzy Syst 18(1):94–105CrossRef
Zurück zum Zitat Xu Q, Yu K, Zeng S, Liu J (2017) Pythagorean fuzzy induced generalized OWA operator and its application to multi-attribute group decision-making. Int J Innov Comput I(13):1527–1536 Xu Q, Yu K, Zeng S, Liu J (2017) Pythagorean fuzzy induced generalized OWA operator and its application to multi-attribute group decision-making. Int J Innov Comput I(13):1527–1536
Zurück zum Zitat Yager RR (2001) The power average operator. IEEE Trans Syst Man Cybern A 31(6):724–731CrossRef Yager RR (2001) The power average operator. IEEE Trans Syst Man Cybern A 31(6):724–731CrossRef
Zurück zum Zitat Yager RR (2013) Pythagorean fuzzy subsets. In: Proceedings of the 2013 joint IFSA world congress and NAFIPS annual meeting Yager RR (2013) Pythagorean fuzzy subsets. In: Proceedings of the 2013 joint IFSA world congress and NAFIPS annual meeting
Zurück zum Zitat Yager RR (2014) Pythagorean membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965CrossRef Yager RR (2014) Pythagorean membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965CrossRef
Zurück zum Zitat Yang W, Pang Y (2018) New Pythagorean fuzzy interaction Maclaurin symmetric mean operators and their application in multiple attribute decision making. IEEE Access 6:39241–39260CrossRef Yang W, Pang Y (2018) New Pythagorean fuzzy interaction Maclaurin symmetric mean operators and their application in multiple attribute decision making. IEEE Access 6:39241–39260CrossRef
Zurück zum Zitat Zeng S, Mu Z, Balezentis T (2018) A novel aggregation method for Pythagorean fuzzy multiple attribute group decision making. Int J Intell Syst 33(3):573–585CrossRef Zeng S, Mu Z, Balezentis T (2018) A novel aggregation method for Pythagorean fuzzy multiple attribute group decision making. Int J Intell Syst 33(3):573–585CrossRef
Zurück zum Zitat Zhang XL (2016) Multi-attribute Pythagorean fuzzy decision analysis: a hierarchical QUALIFLEX approach with the closeness index-based ranking methods. Inf Sci 330:104–124CrossRef Zhang XL (2016) Multi-attribute Pythagorean fuzzy decision analysis: a hierarchical QUALIFLEX approach with the closeness index-based ranking methods. Inf Sci 330:104–124CrossRef
Zurück zum Zitat Zhang XL (2018) A novel approach based on similarity measure for Pythagorean fuzzy multiple attribute group decision making. Int J Intell Syst 31(6):593–611CrossRef Zhang XL (2018) A novel approach based on similarity measure for Pythagorean fuzzy multiple attribute group decision making. Int J Intell Syst 31(6):593–611CrossRef
Zurück zum Zitat Zhang XL, Xu ZS (2014) Extension of TOPSIS to multiple attribute decision making with Pythagorean fuzzy sets. Int J Intell Syst 29:1061–1078CrossRef Zhang XL, Xu ZS (2014) Extension of TOPSIS to multiple attribute decision making with Pythagorean fuzzy sets. Int J Intell Syst 29:1061–1078CrossRef
Zurück zum Zitat Zhu X, Bai K, Wang J, Zhang R, Xing Y (2019) Pythagorean fuzzy interaction power partitioned Bonferroni means with applications to multi-attribute group decision making. J Intell Fuzzy Syst 36:3423–3438CrossRef Zhu X, Bai K, Wang J, Zhang R, Xing Y (2019) Pythagorean fuzzy interaction power partitioned Bonferroni means with applications to multi-attribute group decision making. J Intell Fuzzy Syst 36:3423–3438CrossRef
Zurück zum Zitat Zhuang D, Li J, Xia Y (2015) An evaluation of courier enterprises service quality by using CZIPA approach. J Beijing Technol Bus Univ 30(2):48–55 Zhuang D, Li J, Xia Y (2015) An evaluation of courier enterprises service quality by using CZIPA approach. J Beijing Technol Bus Univ 30(2):48–55
Metadaten
Titel
Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight
verfasst von
Lei Wang
Harish Garg
Na Li
Publikationsdatum
27.07.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 2/2021
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-05193-z

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