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Weighted average LINMAP group decision-making method based on q-rung orthopair triangular fuzzy numbers

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Abstract

Considering the situation where decision values are \(q\)-rung orthopair triangular fuzzy number (\(q\)-ROTFN) and pair-wise comparisons of alternatives and evaluation matrices are given by decision-makers, a new group decision-making method is necessary to be studied for solving a group decision-making problem in the above situation. In this paper, we firstly proposed a \(q\)-rung orthopair triangular fuzzy weighted average (\(q\)-ROTFWA) operator based on the WA operator. In a second step, a linear programming technique for the multidimensional analysis of preferences (LINMAP) model based on \(q\)-ROTFN was formulated, which is used to obtain the weight of each attribute through partial preference information. A distance formula was introduced to get the ranking order of schemes and the best alternative. Finally, the weighted average LINMAP (WA-LINMAP) method was illustrated in a case study to verify its effectiveness. It is found in the experiment that the change of the \(q\) value does not affect the ranking of the schemes. The comparative analysis further confirms the effectiveness and feasibility of the proposed method.

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References

  • Abdullah L, Najib L (2016) A new preference scale MCDM method based on interval-valued intuitionistic fuzzy sets and the analytic hierarchy process. Soft Comput 20(2):511–523

    Google Scholar 

  • Aghamohagheghi M, Hashemi SM, Tavakkoli-Moghaddam R (2019) Soft computing-based new interval-valued Pythagorean triangular fuzzy multi-criteria group assessment method without aggregation: application to a transport Projects Appraisal. Int J Eng Trans B 32(5):737–746

    Google Scholar 

  • Ai Z, Xu Z, Yager RR, Ye J (2020) Q-rung orthopair fuzzy archimedean t-norms and t-conorms and their application. IEEE T Fuzzy Syst 29(5):996–1007. https://doi.org/10.1109/TFUZZ.2020.2965887

    Article  Google Scholar 

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

    MATH  Google Scholar 

  • Chen T (2013) An interval-valued intuitionistic fuzzy LINMAP method with inclusion comparison possibilities and hybrid averaging operations for multiple criteria group decision making. Knowl Based Syst 45:134–146

    Google Scholar 

  • Chen TY (2018) An outranking approach using a risk attitudinal assignment model involving Pythagorean fuzzy information and its application to financial decision making. Appl Soft Comput 71:460–487

    Google Scholar 

  • Chen SM, Cheng SH, Lan TC (2016) Multi-criteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values. Inf Sci 367:279–295

    Google Scholar 

  • Devadoss AV, Felix A (2013) A fuzzy DEMATEL approach to study cause and effect relationship of youth violence. Int J 2:292–303

    Google Scholar 

  • Fahmi A, Aslam M (2020) Projected decision background based on q-rung orthopair triangular fuzzy aggregation operators. Granul Comput. https://doi.org/10.1007/s41066-020-00239-x

    Article  Google Scholar 

  • Fei L, Deng Y (2020) Multi-criteria decision making in Pythagorean fuzzy environment. Appl Intell 50(2):537–561

    Google Scholar 

  • Gao R, Wei Wu (2020) VIKOR method for MAGDM based on q-rung interval-valued orthopair fuzzy information and its application to supplier selection of medical consumption products. Int J Environ Res Public Health 17(2):525

    Google Scholar 

  • Hsieh CH, Chen SH (1999) A Model and algorithm of fuzzy product positioning. Inf Sci 121(1):61–82

    MATH  Google Scholar 

  • Kaminski B, Jakubczyk M (2017) Comparing the Crisp and Fuzzy approaches to modelling preferences towards health states. Mult Criteria Dec Making 12:75–89

    Google Scholar 

  • Kobryn A (2017) DEMATEL as a weighting method in multi-criteria decision analysis. Mult Criteria Dec Making 12:153–167

    Google Scholar 

  • Li DF (2010) A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems. Comput Math Appl 60(6):1557–1570

    MathSciNet  MATH  Google Scholar 

  • Liao Z, Liao H, Tang M, Al-Barakati A, Albert L (2020) A Choquet integral-based hesitant fuzzy gained and lost dominance score method for multi-criteria group decision making considering the risk preferences of experts: Case study of higher business education evaluation. Inf Fusion 62:121–133

    Google Scholar 

  • Liu WP (2017) Some q-Rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making. Int J Intell Syst 33(2):259–280

    Google Scholar 

  • Liu C, Tang GL, Liu PD (2017a) An approach to multicriteria group decision making with unknown weight information based on Pythagorean fuzzy uncertain linguistic aggregation operators. Math Probl Eng 2017:1–18

    MathSciNet  MATH  Google Scholar 

  • Liu ZM, Liu WL, Pang JY (2017b) Pythagorean uncertain linguistic partitioned Bonferroni mean operators and their application in multi-attribute decision making. J Intell Fuzzy Syst 32(3):2779–2790

    MathSciNet  MATH  Google Scholar 

  • Meng FY, Chen SM, Yuan RP (2020) Group decision making with heterogeneous intuitionistic fuzzy preference relations. Inf Sci 523:197–219

    MathSciNet  MATH  Google Scholar 

  • Nguyen HT, Dawal SZ, Nukman Y, Rifai AP, Aoyama H (2016) An Integrated MCDM model for conveyor equipment evaluation and selection in an FMC based on a Fuzzy AHP and fuzzy ARAS in the presence of vagueness. PLoS ONE 11(4):1–26

    Google Scholar 

  • Peng XD, Yang Y (2015) Some results for Pythagorean fuzzy sets. Int J Intell Syst 30(11):1133–1160

    MathSciNet  Google Scholar 

  • Peng XD, Yuan HY (2016) Fundamental properties of Pythagorean fuzzy aggregation operators. Fund Inform 147(4):415–446

    MathSciNet  MATH  Google Scholar 

  • Raju SS, Murali GB, Patnaik PK (2020) Ranking of Al-CSA composite by MCDM approach using AHP-TOPSIS and MOORA methods. J Reinf Plast and Comp 39(19–20):721–732

    Google Scholar 

  • Riaz M, Farid H, Kalsoom H, Pamucar D, Chu YM (2020) A robust q-rung orthopair fuzzy Einstein prioritized aggregation operators with application towards MCGDM. Symmetry 12(6):1058

    Google Scholar 

  • Sadinezhad S, Norooziyadak A, Makui A (2013) Fuzzy distance of triangular fuzzy numbers. J Intell F Syst 25(4):845–852

    MathSciNet  Google Scholar 

  • Sellak H, Ouhbi B, Frikh B, Ikken B (2019) Expertise- based consensus building for MCGDM with hesitant fuzzy linguistic information. Inf Fusion 50:54–70

    Google Scholar 

  • Srinivasan V, Shocker AD (1973) Linear programming techniques for multidimensional analysis of preferences. Psychometrika 38(3):337–369

    MathSciNet  MATH  Google Scholar 

  • Tseng M (2011) Using hybrid MCDM to evaluate the service quality expectation in linguistic prefe- rence. Appl Soft Comput 11(8):4551–4562

    Google Scholar 

  • Vahdani B, Mousavi SM, Tavakkoli-Moghaddam R (2011) Group decision making based on novel fuzzy modified TOPSIS method. Appl Math Model 35(9):4257–4269

    MathSciNet  MATH  Google Scholar 

  • Wan S, Wang QY, Dong JY (2013) The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers. Knowl Based Syst 52:65–77

    Google Scholar 

  • Wan S, Wang F, Lin L, Dong J (2016) Some new generalized aggregation operators for triangular intuitionistic fuzzy numbers and application to multi-attribute group decision making. Comput Ind Eng 93:286–301

    Google Scholar 

  • Wang P (2018) Research on multi-attribute group decision method based on generalized orthogonal fuzzy numbers. Shandong Univ Finance Econ 24(6):2295–2317

    Google Scholar 

  • Wang Y, Deng Y (2019) OWA aggregation of multi-criteria with mixed uncertain fuzzy satisfactions. arXiv Preprint arXiv:1901.09784

    Google Scholar 

  • Wang H, Jiang ZG, Zhang H, Wang Y, Yang YH, Ling Y (2019) An integrated MCDM approach consi- dering demands-matching for reverse logistics. J Clean Prod 208:199–210

    Google Scholar 

  • Wu Q (2011) The complex fuzzy system forecasting model based on fuzzy SVM with triangular fuzzy number input and output. Expert Syst Appl 38(10):12085–12093

    Google Scholar 

  • Wu WW (2012) Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method. Appl Soft Comput J 12(1):527–535

    Google Scholar 

  • Xia H, Li D, Zhou J, Wang J (2006) Fuzzy LINMAP method for multi-attribute decision making under fuzzy environments. J Comput Syst Sci 72(4):741–759

    MATH  Google Scholar 

  • Xue W, Xu Z, Zhang X, Tian X (2018) Pythagorean Fuzzy LINMAP method based on the entropy theory for railway project investment decision making. Int J Intell Syst 33(1):93–125

    Google Scholar 

  • Yager RR (1981) A procedure for ordering fuzzy subsets of the unit interval. Inf Sci 24(2):143–161

    MathSciNet  MATH  Google Scholar 

  • Yager RR (1988) One ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans Syst Man Cybern 18(1):183–190

    MATH  Google Scholar 

  • Yager RR (2014) Pythagorean membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965

    Google Scholar 

  • Yager RR (2017) Generalized orthopair fuzzy sets. IEEE Trans Fuzzy Syst 25:1222–1230

    Google Scholar 

  • Yager RR, Alajlan N (2017) Approximate reasoning with generalized orthopair fuzzy sets. Inf Fusion 38:65–73

    Google Scholar 

  • Yager RR (2013) Pythagorean fuzzy subsets. In: IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). Edmonton. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608375

  • Youssef AE (2020) An Integrated MCDM Approach for Cloud Service Selection Based on TOPSIS and BWM. IEEE Access 99:1–1

    Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf. Control 8(3):338–353

    MathSciNet  MATH  Google Scholar 

  • Zeng S, Chen SM, Kuo LW (2019) Multi-attribute decision making based on novel score function of intuitionistic fuzzy values and modified VIKOR method. Inf Sci 488:76–92

    Google Scholar 

  • Zhang X, Xu Z, Xing X (2015) Hesitant fuzzy programming technique for multidimensional analysis of hesitant fuzzy preferences. Or Spectrum 38(3):789–817

    MathSciNet  MATH  Google Scholar 

  • Zou XY, Chen SM, Fan KY (2020) Multiple attribute decision making using improved intuitionistic fuzzy weighted geometric operators of intuitionistic fuzzy values. Inf Sci 535:242–253

    MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

This work is supported in part by the National Science Foundation of China under Grant 61363075, and in part by the Department of Shenzhen Local Science and Technology Development under Grant 159, and in part by the Department of Science and Technology of Jiangxi Province of China under Grants 20161BBG7007 and KJLD13031, and in part by Department of Education of Jiangxi Province of China under Grant GJJ180270, GJJ160432. Finally, the authors are in debt to the anonymous reviewers with their constructive comments.

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Correspondence to Benting Wan or Mengjie Han.

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Wan, B., Lu, R. & Han, M. Weighted average LINMAP group decision-making method based on q-rung orthopair triangular fuzzy numbers. Granul. Comput. 7, 489–503 (2022). https://doi.org/10.1007/s41066-021-00280-4

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