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Assessment of performance of telecom service providers using intuitionistic fuzzy grey relational analysis framework (IF-GRA)

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Abstract

Over two decades, telecommunication market has been continuing a huge growth in urban, semi-urban and rural regions of India. Investigating and choosing the desirable cellular mobile telephone service providers (TSPs) based on operative constraint can facilitate to obtain the ideal of TSPs selection. Here, the evaluation commonly encompasses different TSP options under various operational factors; thus, the assessment of TSPs can be considered as a rigorous multi-criteria decision-making (MCDM) issue. This paper initiates a structure for the exploration of the TSPs in the Madhya Pradesh region, India. To do this, a framework associated with grey relational analysis (GRA) on intuitionistic fuzzy sets (IFSs) is planned to obtain the performance of various telecom participants. The developed approach is based on the conception of the best and worst solutions. To find the attribute weights, a divergence measure is developed and employed by relative comparisons. Additionally, to show the proficiency and practicality, a selection problem of TSPs options of Madhya Pradesh circle, India is presented within the IFSs context. By employing the developed model, an expert can enlarge tactics to enhance the performance by standard operational factors. Comparison and sensitivity analysis are considered to validate the developed approach in the prioritization of the TSPs options.

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References

  • Ansari MD, Mishra AR, Tabassum F (2018) New divergence and entropy measures for intuitionistic fuzzy sets on edge detection. Int J Fuzzy Syst 20(2):474–487

    MathSciNet  Google Scholar 

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

    MATH  Google Scholar 

  • Burillo P, Bustince H, Mohedano V (1994) Some definitions of intuitionistic fuzzy number. First properties. Proc First Workshop Fuzzy Based Expert Syst 28–30:53–55

    Google Scholar 

  • Chen SM, Chang CH (2015) A novel similarity measure between Atanassov’s intuitionistic fuzzy sets based on transformation techniques with applications to pattern recognition. Inf Sci 291:96–114

    Google Scholar 

  • Chen SC, Chiou SHCH (2016) Fuzzy multi-attribute group decision making based on intuitionistic fuzzy sets and evidential reasoning methodology. Inf Fusion 27:215–227

    Google Scholar 

  • Debnath RM, Shankar R (2008) Benchmarking telecommunication service in India. Benchmark Int J 15:584–598

    Google Scholar 

  • Deng J (1988) Grey system book. Science and Technology Information Services, Windsor

    Google Scholar 

  • Deng JL (1989) Introduction to grey system theory. J Grey Syst 1(1):1–24

    MathSciNet  MATH  Google Scholar 

  • Garg AK, Gupta R (2007) Benchmarking practices and tools for achieving international standard in Indian telecommunication sector. Global Bus Rev 8(2):221–235

    Google Scholar 

  • Hsu LC, Wang CH (2009) Forecasting integrated circuit output using multivariate grey model and grey relational analysis. Expert Syst Appl 36(2):1403–1409

    Google Scholar 

  • Hung SW, Lu WM (2007) A comparative study of the performance measurement in global telecom operators. Total Qual Manag 18:1117–1132

    Google Scholar 

  • Kumar S, Kumar YS (2013) Evaluation of comparative performance of telecom service providers in India using TOPSIS and AHP. Int J Bus Excell 6:192–213

    Google Scholar 

  • Kumar A, Shankar R, Debnath RM (2015) Analyzing customer preference and measuring relative efficiency in telecom sector: a hybrid fuzzy AHP/DEA study. Telematics Inform 32:447–462

    Google Scholar 

  • Kumar P, Singh P, Kharab K (2017) A comparative analysis of operational performance of cellular mobile telephone service providers in the Delhi working area using an approach of fuzzy ELECTRE. Appl Soft Comput 59:438–447

    Google Scholar 

  • Kumari R, Mishra AR (2020) Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection. Iran J Sci Technol Trans Electr Eng. https://doi.org/10.1007/s40998-020-00312-w

    Article  Google Scholar 

  • Kumari R, Mishra AR, Sharma DK (2019) Intuitionistic fuzzy Shapley-TOPSIS method for multi-criteria decision making problems based on information measures. Recent Patents Comput Sci. https://doi.org/10.2174/2213275912666190115162832

    Article  Google Scholar 

  • Kung CY, Wen KL (2007) Applying grey relational analysis and grey decision-making to evaluate the relationship between company attributes and its financial performance-a case study of venture capital enterprises in Taiwan. Decis Supp Syst 44(3):842–852

    Google Scholar 

  • Lee LW, Chen SM (2015) Fuzzy decision making based on likelihood based comparison relations of hesitant fuzzy linguistic term sets and hesitant fuzzy linguistic operators. Inf Sci 294:513–529

    MathSciNet  MATH  Google Scholar 

  • Li N, Zhao H (2016) Performance evaluation of eco-industrial thermal power plants by using fuzzy GRA-VIKOR and combination weighting techniques. J Clean Prod 135:169–183

    Google Scholar 

  • Lin YH, Lee PC, Chang TP (2009) Practical expert diagnosis model based on the grey relational analysis technique. Expert Syst Appl 36(2):1523–1528

    Google Scholar 

  • Liou JJH, Hsu CC, Yeh WC, Lin RH (2011) Using a modified grey relation method for improving airline service quality. Tour Manag 32(6):1381–1388

    Google Scholar 

  • Mishra AR (2016) Intuitionistic fuzzy information with application in rating of township development. Iranian J Fuzzy Syst 13:49–70

    MathSciNet  MATH  Google Scholar 

  • Mishra AR, Rani P (2018) Interval-valued intuitionistic fuzzy WASPAS method: application in reservoir flood control management policy. Group Decis Negot 27(6):1047–1078

    Google Scholar 

  • Mishra AR, Rani P (2019) Shapley divergence measures with VIKOR method for multi-attribute decision making problems. Neural Comput Appl 31:1299–1316

    Google Scholar 

  • Mishra AR, Jain D, Hooda DS (2016) On logarithmic fuzzy measures of information and discrimination. J Inf Optim Sci 37(2):213–231

    MathSciNet  Google Scholar 

  • Mishra AR, Jain D, Hooda DS (2017) Exponential intuitionistic fuzzy information measure with assessment of service quality. Int J Fuzzy Syst 19(3):788–798

    MathSciNet  Google Scholar 

  • Mishra AR, Singh RK, Motwani D (2018) Intuitionistic fuzzy divergence measure-based ELECTRE method for performance of cellular mobile telephone service providers. Nature. https://doi.org/10.1007/s00521-018-3716-6

    Article  Google Scholar 

  • Mishra AR, Sisodia G, Pardasani KR, Sharma K (2019a) Multi-criteria IT personnel selection on intuitionistic fuzzy information measures and ARAS methodology. Iranian J Fuzzy Syst. https://doi.org/10.22111/ijfs.2019.27737.4871

    Article  Google Scholar 

  • Mishra AR, Kumari R, Sharma DK (2019b) Intuitionistic fuzzy divergence measure-based multi-criteria decision-making method. Neural Comput Appl 31:2279–2294

    Google Scholar 

  • Mishra AR, Singh RK, Motwani D (2019c) Multi-criteria assessment of cellular mobile telephone service providers using intuitionistic fuzzy WASPAS method with similarity measures. Granular Comput 4:511–529

    Google Scholar 

  • Mishra AR, Rani P, Pardasani KR (2019d) Multiple-criteria decision-making for service quality selection based on Shapley COPRAS method under hesitant fuzzy sets. Granul Comput 4:435–449

    Google Scholar 

  • Mishra AR, Mardani A, Rani P, Zavadskas EK (2020a) A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures. J Clean Prod. https://doi.org/10.1016/j.jclepro.2020.122807

    Article  Google Scholar 

  • Mishra AR, Rani P, Mardani A, Pardasani KR, Govindan K, Alrasheedi M (2020b) Healthcare evaluation in hazardous waste recycling using novel interval-valued intuitionistic fuzzy information based on complex proportional assessment method. Comput Ind Eng 139:106140. https://doi.org/10.1016/j.cie.2019.106140

    Article  Google Scholar 

  • Mishra AR, Rani P, Mardani A, Pardasani KR, Stevic Z, Pamucar D (2020c) A novel entropy and divergence measures with multi-criteria service quality assessment using interval-valued intuitionistic fuzzy TODIM method. Soft Comput. https://doi.org/10.1007/s00500-019-04627-7

    Article  Google Scholar 

  • Mishra AR, Rani P, Pandey K, Mardani A, Streimikis J, Streimikiene D, Alrasheedi M (2020d) Novel multi-criteria intuitionistic fuzzy SWARA–COPRAS approach for sustainability evaluation of the bioenergy production process. Sustainability 12:4155. https://doi.org/10.3390/su12104155

    Article  Google Scholar 

  • Montes I, Pal NR, Janis V, Montes S (2015) Divergence measures for intuitionistic fuzzy sets. IEEE Trans Fuzzy Syst 23:444–456

    Google Scholar 

  • Nigam V, Thakur T, Sethi VK, Singh RP (2012) Benchmarking of Indian mobile telecom operators using DEA with sensitivity analysis. Benchmark Int J 19:219–238

    Google Scholar 

  • Rani P, Jain D (2017) Intuitionistic fuzzy PROMETHEE technique for multi-criteria decision making problems based on entropy measure. In: Proceedings of communications in computer and information science (CCIS). Springer, vol 721, pp 290–301

  • Rani P, Jain D (2019) Information measures-based multi-criteria decision-making problems for interval-valued intuitionistic fuzzy environment. Natl Acad Sci India Sect A Phys Sci Proc. https://doi.org/10.1007/s40010-019-00597-5

    Article  Google Scholar 

  • Rani P, Mishra AR (2020a) Single-valued neutrosophic SWARA-VIKOR framework for performance assessment of eco-industrial thermal power plants. ICSES Trans Neural Fuzzy Comput 3:1–9

    Google Scholar 

  • Rani P, Mishra AR (2020b) Multi-criteria weighted aggregated sum product assessment framework for fuel technology selection using q-Rung orthopair fuzzy sets. Sustain Prod Consum 24:90–104. https://doi.org/10.1016/j.spc.2020.06.015

    Article  Google Scholar 

  • Rani P, Jain D, Hooda DS (2018) Shapley function based interval-valued intuitionistic fuzzy VIKOR technique for correlative multi-criteria decision making problems. Iran J Fuzzy Syst 15(1):25–54

    MathSciNet  MATH  Google Scholar 

  • Rani P, Jain D, Hooda DS (2019) Extension of intuitionistic fuzzy TODIM technique for multi-criteria decision making method based on shapley weighted divergence measure. Granul Comput 4(3):407–420. https://doi.org/10.1007/s41066-018-0101-x

    Article  Google Scholar 

  • Rani P, Mishra AR, Mardani A, Cavallaro F, Streimikiene D, Khan SAR (2020a) Pythagorean fuzzy SWARA–VIKOR framework for performance evaluation of solar panel selection. Sustainability 12:4278. https://doi.org/10.3390/su12104278

    Article  Google Scholar 

  • Rani P, Mishra AR, Mardani A (2020b) An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: application in pharmacological therapy selection for type 2 diabetes. Appl Soft Comput. https://doi.org/10.1016/j.asoc.2020.106441

    Article  Google Scholar 

  • Rao CJ, Zhao Y (2009) Multi-attribute auction method based on grey relational degree of hybrid sequences. J Grey Syst 21(2):175–184

    Google Scholar 

  • Resende M (2008) Efficiency measurement and regulation in US telecommunications: a robustness analysis. Int J Prod Econ 114:205–218

    Google Scholar 

  • Shemshadi A, Shirazi H, Toreihi M, Tarokh M (2011) A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Exp Sys App. 38:12160–12167

    Google Scholar 

  • TRAI (2017a) Audit wireless report for MP (including CG) circle, Regional office Bhopal. http://www.trai.gov.in/sites/default/files/AuditReport_MP_25072017.pdf

  • TRAI (2019) https://main.trai.gov.in/sites/default/files/PR_No.22of2019_0.pdf

  • Vlachos IK, Sergiagis GD (2007) Intuitionistic fuzzy information— application to pattern recognition. Pattern Recognit Lett 28:197–206

    Google Scholar 

  • Wang HY, Chen SM (2008) Evaluating students’ answer scripts using fuzzy numbers associated with degrees of confidence. IEEE Trans Fuzzy Syst 16(2):403–415

    Google Scholar 

  • Wei G, Wang HJ, Lin R, Zhao X (2012) Grey relational analysis method for intuitionistic fuzzy multiple attribute decision making with preference information on alternatives. Int J Comput Intell Syst 4:164–173

    Google Scholar 

  • Wu W, Peng Y (2016) Extension of grey relational analysis for facilitating group consensus to oil spill emergency management. Anal Oper Res 238:615–635

    MathSciNet  MATH  Google Scholar 

  • Xie SF, Liu NM, Forrest J (2011) Novel models of grey relational analysis based on visual angle of similarity and nearness. Grey Syst Theory Appl 1(1):8–18

    Google Scholar 

  • Xu ZS (2007) Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst 15(6):1179–1187

    Google Scholar 

  • Yang HH, Chang CY (2009) Using DEA window analysis to measure efficiencies of Taiwan’s integrated telecommunication firms. Telecommun Policy 33:98–108

    Google Scholar 

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

    MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Mathematics, NIT Warangal, Hanamkonda, Telangana, India

    Pratibha Rani

  2. Department of Mathematics, Government College, Jaitwara, MP, India

    Arunodaya Raj Mishra

  3. Department of Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad, India

    Mohd Dilshad Ansari

  4. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, UP, India

    Jabir Ali

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  1. Pratibha Rani
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  2. Arunodaya Raj Mishra
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  3. Mohd Dilshad Ansari
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  4. Jabir Ali
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Correspondence to Arunodaya Raj Mishra or Jabir Ali.

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Rani, P., Mishra, A.R., Ansari, M.D. et al. Assessment of performance of telecom service providers using intuitionistic fuzzy grey relational analysis framework (IF-GRA). Soft Comput 25, 1983–1993 (2021). https://doi.org/10.1007/s00500-020-05269-w

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