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An Extended Intuitionistic Fuzzy Multi-Attributive Border Approximation Area Comparison Approach for Smartphone Selection Using Discrimination Measures
Volume 32, Issue 1 (2021), pp. 119–143
Arunodaya Raj Mishra   Abhishek Kumar Garg   Honey Purwar   Pushpendra Rana   Huchang Liao   Abbas Mardani  

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https://doi.org/10.15388/20-INFOR430
Pub. online: 15 October 2020      Type: Research Article      Open accessOpen Access

Received
1 November 2019
Accepted
1 September 2020
Published
15 October 2020

Abstract

The objective of the paper is to introduce a novel approach using the multi-attribute border approximation area comparison (MABAC) approach under intuitionistic fuzzy sets (IFSs) to solve the smartphone selection problem with incomplete weights or completely unknown weights. A novel discrimination measure of IFSs is proposed to calculate criteria weights. In view of the fact that the ambiguity is an unavoidable feature of multiple-criteria decision-making (MCDM) problems, the proposed approach is an innovative process in the decision-making under uncertain settings. To express the utility and strength of the developed approach for solving problems in the area of MCDM, a smartphone selection problem is demonstrated. To validate the IF-MABAC approach, a comparative discussion is made between the outcomes of the developed and those of the existing methods. The outcomes of analysis demonstrate that the introduced method is well-ordered and effective with the existing ones.

References

 
Akyene, T. (2012). Cell phone evaluation base on entropy and TOPSIS. Interdisciplinary Journal of Research in Business, 1, 9–15. 2012.
 
Ansari, M.D., Mishra, A.R., Ansari, F.T. (2018). New discrimination and entropy measures for intuitionistic fuzzy sets on edge detection. International Journal of Fuzzy Systems, 20, 474–487.
 
Atanassov, K.T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87–96.
 
Bao, T., Xie, X., Long, P., Wei, Z. (2017). MADM method based on prospect theory and evidential reasoning approach with unknown attribute weights under intuitionistic fuzzy environment. Expert Systems with Applications, 88, 305–317.
 
Belbag, S., Gungordu, A., Yumusak, T., Yilmaz, K.G. (2016). The evaluation of smartphone brand choice: an application with the fuzzy ELECTRE I method. International Journal of Business and Management Invention, 5, 55–63.
 
Biswas, T.K., Das, M.K. (2018). Selection of hybrid vehicle for green environment using multi-attributive border approximation area comparison method. Management Science Letters, 8, 121–130.
 
Biswas, T.K., Das, M.K. (2019). Selection of commercially available electric vehicle using fuzzy AHP-MABAC. Journal of the Institution of Engineers (India): Series C, 100, 531–537.
 
Bojanic, D., Kovač, M., Bojanic, M., Ristic, V. (2018). Multi-criteria decision-making in A defensive operation of the guided anti-tank missile battery: an example of the hybrid model fuzzy AHP-MABAC. Decision Making: Applications in Management and Engineering, 1, 51–66.
 
Boran, F.E., Genc, S., Kurt, M., Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36, 11363–11368.
 
Božanić, D., Pamučar, D., Karović, S.M. (2016). Application the MABAC method in support of decision-making on the use of force in a defensive operation. Tehnika, 7, 129–136.
 
Bozanic, D., Tešić, D., Milićević, J. (2018). A hybrid fuzzy AHP-MABAC model: application in the Serbian Army – the selection of the location for deep wading as a technique of crossing the river by tanks. Decision Making: Applications in Management and Engineering, 1, 143–164.
 
Božanić, D., Tešić, D., Kočić, J. (2019). Multi-criteria FUCOM – fuzzy MABAC model for the selection of location for construction of single-span Bailey bridge. Decision Making: Applications in Management and Engineering, 2, 132–146.
 
Büyüközkan, G., Güleryüz, S. (2016). Multi criteria group decision making approach for smart phone selection using intuitionistic fuzzy TOPSIS. International Journal of Computational Intelligence Systems, 9, 709–725.
 
Cavallaro, F., Zavadskas, E.K., Streimikiene, D. (2018). Concentrated solar power (CSP) hybridized systems. Ranking based on an intuitionistic fuzzy multi-criteria algorithm. Journal of Cleaner Production, 179, 407–416.
 
Cavallaro, F., Zavadskas, E.K., Streimikiene, D., Mardani, A. (2019). Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy TOPSIS and trigonometric entropy weights. Technological Forecasting and Social Change, 140, 258–270.
 
Chen, I.F., Tsaur, R.C., Chen, P.Y. (2018). Selection of Best Smartphone using revised ELECTRE-III method. International Journal of Information Technology & Decision Making, 17, 1915–1936.
 
Deng, G., Jiang, Y., Fu, J. (2015). Monotonic similarity measures between intuitionistic fuzzy sets and their relationship with entropy and inclusion measure. Information Sciences, 316, 348–369.
 
Dorfeshan, Y., Mousavi, S.M. (2020). A novel interval type-2 fuzzy decision model based on two new versions of relative preference relation-based MABAC and WASPAS methods (with an application in aircraft maintenance planning). Neural Computing and Applications, 32, 3367–3385.
 
Garg, H. (2016). Generalized intuitionistic fuzzy interactive geometric interaction operators using Einstein t-norm and t-conorm and their application to decision making. Computers & Industrial Engineering, 101, 53–69.
 
Gigović, L., Pamučar, D., Božanić, D., Ljubojević, S. (2017). Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: a case study of Vojvodina, Serbia. Renewable Energy, 103, 501–521.
 
Hu, J.H., Chen, P.P., Yang, Y. (2019). An interval type-2 fuzzy similarity-based MABAC approach for patient-centered care. Mathematics, 7(2), 140, 140. https://doi.org/10.3390/math7020140.
 
Hu, S.K., Lu, M.T., Tzeng, G.H. (2014). Exploring smart phone improvements based on a hybrid MCDM model. Expert Systems with Applications, 41, 4401–4413.
 
Hu, S.K., Liou, J., Chuang, Y.C., Tzeng, G.H. (2018). New hybrid FMADM model for mobile commerce improvement. Technological and Economic Development of Economy, 24(5), 1801–1828. https://doi.org/10.3846/20294913.2017.1318311.
 
Ji, P., Zhang, H.Y., Wang, J.Q. (2018). Selecting an outsourcing provider based on the combined MABAC–ELECTRE method using single-valued neutrosophic linguistic sets. Computers & Industrial Engineering, 120, 429–441.
 
Jia, F., Liu, Y., Wang, X. (2019). An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers. Expert Systems with Applications, 127, 241–255.
 
Jiang, Q., Jin, X., Lee, S.J., Yao, S. (2019). A new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognition. Expert Systems with Applications, 116, 439–453.
 
Kong, D., Chang, T., Wang, Q., Sun, H., Dai, W. (2018). A threat assessment method of group targets based on interval-valued intuitionistic fuzzy multi-attribute group decision-making. Applied Soft Computing, 67, 350–369.
 
Kumari, R., Mishra, A.R. (2020). Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection. Iranian Journal of Science and Technology, Transactions of Electrical Engineering https://doi.org/10.1007/s40998-020-00312-w.
 
Liang, R.X., He, S.S., Wang, J.Q., Chen, K., Li, L. (2019a). An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information. Computational and Applied Mathematics, 38, 112.
 
Liang, W., Zhao, G., Wu, H., Dai, B. (2019b). Risk assessment of rockburst via an extended MABAC method under fuzzy environment. Tunnelling and Underground Space Technology, 83, 533–544.
 
Liao, H.C., Xu, Z.S., Zeng, X.J. (2014). Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Information Sciences, 271, 125–142.
 
Liao, H.C., Wu, D., Huang, Y.L., Ren, P.J., Xu, Z.S., Verma, M. (2018). Green logistic provider selection with a hesitant fuzzy linguistic thermodynamic method integrating cumulative prospect theory and PROMETHEE. Sustainability, 10, 1291. https://doi.org/10.3390/su10041291.
 
Liu, H.C. (2019). FMEA using IVIFSs and MABAC method and its application to radiation therapy. In: Liu, H.-C. (Ed.), Improved FMEA Methods for Proactive Healthcare Risk Analysis. Springer Singapore, Singapore, pp. 125–150.
 
Liu, W.S., Liao, H.C. (2017). A bibliometric analysis of fuzzy decision research during 1970–2015. International Journal of Fuzzy Systems., 19(1), 1–14.
 
Lohrmann, C., Luukka, P., Jablonska-Sabuka, M., Kauranne, T. (2018). A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection. Expert Systems with Applications, 110, 216–236.
 
Luo, M., Zhao, R. (2018). A distance measure between intuitionistic fuzzy sets and its application in medical diagnosis. Artificial Intelligence in Medicine, 89, 34–39.
 
Luo, S.Z., Liang, W.Z. (2019). Optimization of roadway support schemes with likelihood-based MABAC method. Applied Soft Computing, 80, 80–92.
 
Maheshwari, S., Srivastava, P. (2015). Application of intuitionistic fuzzy cross entropy measure in decision making for medical diagnosis. International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 9, 254–258.
 
Majchrzycka, A., Poniszewska-Maranda, A. (2018). Control operation flow for mobile access control with the use of MABAC model. In: Kosiuczenko, P., Madeyski, L. (Eds.), Towards a Synergistic Combination of Research and Practice in Software Engineering. Springer International Publishing, Cham, pp. 179–192.
 
Mishra, A.R. (2016). Intuitionistic fuzzy information with application in rating of township development. Iranian Journal of Fuzzy Systems, 13, 49–70.
 
Mishra, A.R., Rani, P. (2019). Shapley discrimination measures with VIKOR method for multi-attribute decision-making problems. Neural Computing and Applications, 31, 1299–1316. https://doi.org/10.1007/s00521-017-3101-x.
 
Mishra, A.R., Rani, P., Jain, D. (2017a). Information measures based TOPSIS method for multicriteria decision making problem in intuitionistic fuzzy environment. Iranian Journal of Fuzzy Systems, 14(6), 41–63.
 
Mishra, A.R., Jain, D., Hooda, D. (2017b). Exponential intuitionistic fuzzy information measure with assessment of service quality. International Journal of Fuzzy Systems, 19, 788–798.
 
Mishra, A.R., Singh, R.K., Motwani, D. (2019a). Multi-criteria assessment of cellular mobile telephone service providers using intuitionistic fuzzy WASPAS method with similarity measures. Granular Computing, 4, 511–529. https://doi.org/10.1007/s41066-018-0114-5.
 
Mishra, A.R., Kumari, R., Sharma, D.K. (2019b). Intuitionistic fuzzy divergence measure-based multi-criteria decision-making method. Neural Computing & Applications, 31, 2279–2294. https://doi.org/10.1007/s00521-017-3187-1.
 
Mishra, A.R., Singh, R.K., Motwani, D. (2020a). Intuitionistic fuzzy discrimination measure-based ELECTRE method for performance of cellular mobile telephone service providers. Neural Computing and Applications, 32, 3901–3921. https://doi.org/10.1007/s00521-018-3716-6.
 
Mishra, A.R., Sisodia, G., Pardasani, K.R., Sharma, K. (2020b). Multi-criteria IT personnel selection on intuitionistic fuzzy information measures and ARAS methodology. Iranian Journal of Fuzzy Systems, 17(4), 5–68. https://doi.org/10.22111/ijfs.2019.27737.4871.
 
Mishra, A.R., Chandel, A., Motwani, D. (2020c). Extended MABAC method based on discrimination measures for multi-criteria assessment of programming language with interval-valued intuitionistic fuzzy sets. Granular Computing, 5(1), 97–117.
 
Mishra, A.R., Mardani, A., Rani, P., Zavadskas, E.K. (2020d). A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures. Journal of Cleaner Production, 272, 122807. https://doi.org/10.1016/j.jclepro.2020.122807.
 
Montes, I., Pal, N.R., Janis, V., Montes, S. (2015). Discrimination measures for intuitionistic fuzzy sets. IEEE Transaction on Fuzzy Systems, 23, 444–456.
 
Ngan, R.T., Son, L.H., Cuong, B.C., Ali, M. (2018). H-max distance measure of intuitionistic fuzzy sets in decision making. Applied Soft Computing, 69, 393–425.
 
Nunić, Z. (2018). Evaluation and selection of manufacturer PVC carpentry using FUCOM-MABAC model. Operational Research in Engineering Sciences: Theory and Applications, 1, 13–28.
 
Ohlan, A. (2016). Intuitionistic fuzzy exponential discrimination: application in multi-attribute decision making. Journal of Intelligent & Fuzzy Systems, 30, 1519–1530.
 
Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42, 3016–3028.
 
Pamučar, D., Božanić, D. (2019). Selection of a location for the development of multimodal logistics center: application of single-valued neutrosophic MABAC model. Operational Research in Engineering Sciences: Theory and Applications, 2, 55–71.
 
Parkash, O., Kumar, R. (2017). Modified fuzzy discrimination measure and its applications to medical diagnosis and MCDM. Risk and Decision Analysis, 6, 231–237.
 
Peng, X., Dai, J. (2017). Hesitant fuzzy soft decision making methods based on WASPAS, MABAC and COPRAS with combined weights. Journal of Intelligent & Fuzzy Systems, 33, 1313–1325.
 
Peng, X., Dai, J. (2018). Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function. Neural Computing and Applications, 29, 939–954.
 
Peng, X., Yang, Y. (2016). Pythagorean fuzzy Choquet integral based MABAC method for multiple attribute group decision making. International Journal of Intelligent Systems, 31, 989–1020.
 
Peng, X., Dai, J., Yuan, H. (2017). Interval-valued fuzzy soft decision making methods based on MABAC, similarity measure and EDAS. Fundamenta Informaticae, 152, 373–396.
 
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), Vol. 721. Springer pp. 290–301.
 
Rani, P., Mishra, A.R. (2020a). Single-valued neutrosophic SWARA-VIKOR framework for performance assessment of eco-industrial thermal power plants. ICSES Transactions on Neural and Fuzzy Computing, 3, 1–9.
 
Rani, P., Mishra, A.R. (2020b). Multi-criteria weighted aggregated sum product assessment framework for fuel technology selection using q-rung orthopair fuzzy sets. Sustainable Production and Consumption, 24, 90–104. https://doi.org/10.1016/j.spc.2020.06.015.
 
Rani, P., Jain, D., Hooda, D. (2019a). Extension of intuitionistic fuzzy TODIM technique for multi-criteria decision making method based on shapley weighted discrimination measure. Granular Computing, 4, 407–420.
 
Rani, P., Mishra, A.R., Pardasani, K.R., Mardani, A., Liao, H.C., Streimikiene, D. (2019b). A novel VIKOR approach based on entropy and discrimination measures of Pythagorean fuzzy sets to evaluate renewable energy technologies in India. Journal of Cleaner Production, 238, 117936. https://doi.org/10.1016/j.jclepro.2019.117936.
 
Rani, P., Mishra, A.R., Mardani, A., Cavallaro, F., Alrasheedi, M., Alrashidi, A. (2020). A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection. Journal of Cleaner Production, 257, 120352. https://doi.org/10.1016/j.jclepro.2020.120352. doi.
 
Roy, J., Ranjan, A., Debnath, A., Kar, S. (2016). An extended MABAC for multi-attribute decision making using trapezoidal interval type-2 fuzzy numbers arXiv:1607.01254 [cs.AI].
 
Shen, F., Ma, X., Li, Z., Xu, Z.S., Cai, D. (2018). An extended intuitionistic fuzzy TOPSIS method based on a new distance measure with an application to credit risk evaluation. Information Sciences, 428, 105–119.
 
Shen, K., Wang, X., Qiao, D., Wang, J. (2020). Extended Z-MABAC method based on regret theory and directed distance for regional circular economy development program selection with Z-information. IEEE Transactions on Fuzzy Systems, 28(8), 1851–1863.
 
Srivastava, P., Maheshwari, S. (2016). Decision making in medical investigations using new discrimination measures for intuitionistic fuzzy sets. Iranian Journal of Fuzzy Systems, 13, 25–44.
 
Sun, R., Hu, J., Zhou, J., Chen, X. (2018). A hesitant fuzzy linguistic projection-based MABAC method for patients’ prioritization. International Journal of Fuzzy Systems, 20, 2144–2160.
 
Tang, M., Liao, H.C. (2019). Managing information measures for hesitant fuzzy linguistic term sets and their applications in designing clustering algorithms. Information Fusion, 50, 30–42.
 
Verma, R., Sharma, B.D. (2014). A new measure of inaccuracy with its application to multi-criteria decision making under intuitionistic fuzzy environment. Journal of Intelligent & Fuzzy Systems, 27, 1811–1824.
 
Vesković, S., Stević, Ž., Stojić, G., Vasiljević, M., Milinković, S. (2018). Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decision Making: Applications in Management and Engineering, 1, 34–50.
 
Vlachos, I.K., Sergiadis, G.D. (2007). Intuitionistic fuzzy information – applications to pattern recognition. Pattern Recognition Letters, 28, 197–206.
 
Wang, J., Wei, G., Wei, C., Wei, Y. (2020). MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment. Defence Technology, 16(2), 208–216.
 
Wei, G., He, Y., Lei, F., Wu, J., Wei, C., Guo, Y. (2020). Green supplier selection with an uncertain probabilistic linguistic MABAC method. Journal of Intelligent & Fuzzy Systems, 1–12. https://doi.org/10.3233/jifs-191584.
 
Wu, X., Liao, H.C. (2019). A consensus based probabilistic linguistic gained and lost dominance sore method. European Journal of Operational Research, 272(3), 1017–1027.
 
Wu, X., Liao, H.C., Xu, Z.S., Hafezalkotob, A., Herrera, F. (2018). Probabilistic linguistic MULTIMOORA: a multi-criteria decision making method based on the probabilistic linguistic expectation function and the improved Borda rule. IEEE Transactions on Fuzzy Systems, 26(6), 3688–3702.
 
Xu, Z.S. (2007). Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst, 15(6), 1179–1187.
 
Xu, G.L., Wan, S.P., Xie, X.L. (2015). A selection method based on MAGDM with interval-valued intuitionistic fuzzy sets. Mathematical Problems in Engineering, 2015, 1–13. (Article ID 791204).
 
Xue, Y.X., You, J.X., Lai, X.D., Liu, H.C. (2016). An interval-valued intuitionistic fuzzy MABAC approach for material selection with incomplete weight information. Applied Soft Computing, 38, 703–713.
 
Yildiz, A., Ergul, E. (2015). A two-phased multi-criteria decision-making approach for selecting the best smartphone. South African Journal of Industrial Engineering, 26, 194–215.
 
Yu, S.M., Wang, J., Wang, J.Q. (2017). An interval type-2 fuzzy likelihood-based mabac approach and its application in selecting hotels on a tourism website. International Journal of Fuzzy Systems, 19, 47–61.

Biographies

Mishra Arunodaya Raj
arunodaya87@outlook.com

A.R. Mishra is an assistant professor in the Department of Mathematics, Govt. College Jaitwara, MP, India. He received his PhD in mathematics from Jaypee Universuty of Engineering & Technology, Guna, MP, India. His main research includes fuzzy sets theory, multi-criteria decision-making, IFSs, IVIFs, PFSs, NSs, sustainability, sustainable development and decision making methods, information measures, entropy measures, divergence measures and similarity and dissimilarity measures. He has published more than 51 peer-reviewed papers, many in high-quality international journals including Journal of Cleaner Production, Sustainable Development, Sustainable Production & Consumption, Applied Soft Computing, Automation in Construction, Computers and Industrial Engineering, Group Decision and Negotiation, Iranian Journal of Fuzzy Systems, Neural Computing & Applications, Soft Computing, Energies, Arabian Journal for Science & Engineering, etc.

Garg Abhishek Kumar

A.K. Garg is pursuing in MSc in mathematics from Jiwaji University, Gwalior, MP, India. His interest includes fuzzy sets, information measures, and others.

Purwar Honey

H. Purwar is pursuing master degree in management from Jagannath International Management School, New Delhi, India. Her main research interests are in fuzzy sets, decision-making, and others.

Rana Pushpendra

P. Rana has completed his BSc in mathematics from ITM University, Gwalior, MP, India. His interest includes fuzzy sets, information measures, and others.

Liao Huchang
liaohuchang@163.com

H. Liao is a research fellow at the Business School, Sichuan University, Chengdu, China. He received his PhD degree in management science and engineering from the Shanghai Jiao Tong University, Shanghai, China, in 2015. He has published 3 monographs, 1 chapter, and more than 240 peer-reviewed papers, many in high-quality international journals including European Journal of Operational Research, Omega, IEEE Transactions on Fuzzy Systems, IEEE Transaction on Cybernetics, Information Sciences, Information Fusion, Knowledge-Based Systems, Fuzzy Sets and Systems, Expert Systems with Applications, International Journal of Production Economics, etc. He is a highly cited researcher since 2019. His current research interests include multiple criteria decision analysis under uncertainty, business intelligence and data science, cognitive computing, fuzzy set and systems, healthcare management, evidential reasoning theory with applications in big data analytics, etc. Prof. Liao is the senior member of IEEE since 2017. He is the editor-in-chief, associate editor, guest editor or editorial board member for 30 international journals, including Information Fusion (SCI), Applied Soft Computing (SCI), Technological and Economic Development of Economy (SSCI), International Journal of Strategic Property Management (SSCI), Computers and Industrial Engineering (SCI), International Journal of Fuzzy Systems (SCI), Journal of Intelligent and Fuzzy Systems (SCI) and Mathematical Problems in Engineering (SCI). Prof. Liao has received numerous honours and awards, including the thousand talents plan for young professionals in Sichuan Province, the candidate of academic and technical leaders in Sichuan Province, the outstanding scientific research achievement award in higher institutions (first class in Natural Science in 2017; second class in Natural Science in 2019), the outstanding scientific science research achievement award in Sichuan Province (second class in Social Science in 2019), and the 2015 endeavour research fellowship award granted by the Australia Government.

Mardani Abbas
abbas.mardani@tdtu.edu.vn

A. Mardani is senior lecturer and researcher in Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM), Skudai Johor. His research interests are fuzzy sets theory, sustainability, sustainable supply chain management, green supply chain management, sustainable development and decision making methods.


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discrimination measure intuitionistic fuzzy sets MABAC smartphone selection multiple criteria decision making

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