ABSTRACT
Selecting appropriate vendor or supplier becomes one of the most important activity of purchasing function taken by decision makers that affect their supply chain operations. Various criteria that needs to be taken into consideration in choosing one feasible vendor amongst many options make this more complicated. In this study, the theory of intuitionistic fuzzy set combined with TOPSIS is used to overcome problems related to multiple criteria decisions making (MCDM). This method helps to quantify and overcome the fuzziness caused by expert judgement in assessing both criteria and alternatives. Shannon's entropy concept is also employed for weighting the criteria weight to prevent the inconsistency occur due to a large number of criteria taken into consideration. The result of this study is demonstration of intuitionistic fuzzy TOPSIS method that is combined with entropy weighting for selecting vendor in an upstream oil and gas industry to ease the process of decision making done by decision makers objectively, accurately, and speedy.
- Atanassov, K. et al. 2005. Intuitionistic fuzzy interpretations of multi-criteria multi-person and multi-measurement tool decision making. International Journal of Systems Science. 36, 14 (2005), 859--868. DOI:https://doi.org/10.1080/00207720500382365.Google ScholarCross Ref
- Atanassov, K.T. 1986. Intuitionistic fuzzy sets. Fuzzy Sets and Systems. (1986). DOI:https://doi.org/10.1016/S0165-0114(86)80034-3.Google Scholar
- Atanassov, K.T. 2012. On Intuitionistic Fuzzy Sets Theory. Springer-Verlag Berlin Heidelberg.Google Scholar
- Boostani, A. and Torabi, S.A. 2018. Supplier Selection and Order Allocation under Risk: Iranian Oil and Gas Drilling Companies. International journal of industrial engineering & production reserach. (2018). DOI:https://doi.org/10.22068/ijiepr.29.1.35.Google Scholar
- Boran, F.E. et al. 2009. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications. 36, 8 (2009), 11363--11368. DOI:https://doi.org/10.1016/j.eswa.2009.03.039.Google ScholarDigital Library
- Boran, F.E. et al. 2011. Personnel selection based on intuitionistic fuzzy sets. Human Factors and Ergonomics In Manufacturing. (2011). DOI:https://doi.org/10.1002/hfm.20252.Google ScholarDigital Library
- Chan, H.K. and Wang, X. 2013. Fuzzy Hierarchical Model for Risk Assessment.Google Scholar
- Chen, S.-J. and Hwang, C.-L. 1992. Fuzzy Multiple Attribute Decision Making Methods.Google Scholar
- Chen, T.Y. and Li, C.H. 2010. Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis. Information Sciences. 180, 21 (2010), 4207--4222. DOI:https://doi.org/10.1016/j.ins.2010.07.009.Google ScholarDigital Library
- Chen, Z. et al. 2015. An approach to multiple attribute group decision making based on linguistic intuitionistic fuzzy numbers. International Journal of Computational Intelligence Systems. 8, 4 (2015), 747--760. DOI:https://doi.org/10.1080/18756891.2015.1061394.Google ScholarCross Ref
- Cheng, Q.Y. 2010. Structure entropy weight method to confirm the weight of evaluating index. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice. (2010).Google Scholar
- Dananjaya, I.G.N.B.A. et al. 2019. Designing Supplier Selection Support System Using Fuzzy Analytical Hierarchy Process and Weighted Sum Model for Coated Duplex Industry. (2019).Google Scholar
- Das, S. et al. 2017. Robust decision making using intuitionistic fuzzy numbers. Granular Computing. 2, 1 (2017), 41--54. DOI:https://doi.org/10.1007/s41066-016-0024-3.Google ScholarCross Ref
- Hung, C. and Chen, L. 2009. A Fuzzy TOPSIS Decision Making Model with Entropy Weight under Intuitionistic Fuzzy Environment. Lecture Notes in Engineering and Computer Science. 2174, 1 (2009), 13--16.Google Scholar
- Hung, C.C. and Chen, L.H. 2010. A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment. Lecture Notes in Electrical Engineering. 52 LNEE, (2010), 17--26. DOI:https://doi.org/10.1007/978-90-481-3517-2-2.Google Scholar
- Hung, W.L. and Yang, M.S. 2004. Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance. Pattern Recognition Letters. 25, 14 (2004), 1603--1611. DOI:https://doi.org/10.1016/j.patrec.2004.06.006.Google ScholarDigital Library
- Hwang, C.L. and Yoon, K. 1981. Lecture Notes in Economics and Mathematical Systems: Preface.Google Scholar
- Izadikhah, M. 2012. Group decision making process for supplier selection with TOPSIS method under interval-valued intuitionistic fuzzy numbers. Advances in Fuzzy Systems. 2012, (2012). DOI:https://doi.org/10.1155/2012/407942.Google ScholarCross Ref
- Karlina, O. et al. 2020. Designing Green Procurement System Based On Enterprise Resources Planning For The Rubber Processing Industry. (2020), 608--613. DOI:https://doi.org/10.1109/iceei47359.2019.8988889.Google Scholar
- Kaviani, M.A. et al. 2019. An integrated grey-based multi-criteria decision-making approach for supplier evaluation and selection in the oil and gas industry. Kybernetes. (2019). DOI:https://doi.org/10.1108/K-05-2018-0265.Google Scholar
- Khaleie, S. and Fasanghari, M. 2012. An intuitionistic fuzzy group decision making method using entropy and association coefficient. Soft Computing. 16, 7 (2012), 1197--1211. DOI:https://doi.org/10.1007/s00500-012-0806-8.Google ScholarDigital Library
- Liu, P. and Liu, X. 2017. Multiattribute group decision making methods based on linguistic intuitionistic fuzzy power bonferroni mean operators. Complexity. 2017, (2017). DOI:https://doi.org/10.1155/2017/3571459.Google Scholar
- Loasby, B.J. 1998. The organisation of capabilities. Journal of Economic Behavior and Organization. (1998). DOI:https://doi.org/10.1016/s0167-2681(98)00056-0.Google ScholarCross Ref
- De Luca, A. and Termini, S. 1972. A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Information and Control. (1972). DOI:https://doi.org/10.1016/S0019-9958(72)90199-4.Google Scholar
- MONDAL, K. and PRAMANIK, S. 2014. Intuitionistic Fuzzy Multicriteria Group Decisionmaking Approach To Quality Clay-Brick Selection Problems Based on Grey Relational Analysis. Journal of Applied Quantitative Methods. 9, 2 (2014), 35--50.Google Scholar
- R. Alfreda, Y. 2019. PENGEMBANGAN KRITERIA PENILAIAN KINERJA PEMASOK MENGGUNAKAN FACTOR RELATIONSHIP DATA ENVELOMPMENT ANALYSIS (FARE-DEA) PADA PENGADAAN DI TELKOM.Google Scholar
- Ramdas, K. and Spekman, R.E. 2000. Chain or shackles: Understanding what drives supply-chain performance. Interfaces. (2000). DOI:https://doi.org/10.1287/inte.30.4.3.11644.Google ScholarDigital Library
- Saghafian, S. and Hejazi, S.R. 2005. Multi-criteria group decision making using a modified fuzzy TOPSIS procedure. Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet. 2, (2005), 215--220.Google Scholar
- Shannon, C.E. 1948. A Mathematical Theory of Communication. Bell System Technical Journal. (1948). DOI:https://doi.org/10.1002/j.1538-7305.1948.tb01338.x.Google Scholar
- Szmidt, E. and Kacprzyk, J. 2000. Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems. 114, 3 (2000), 505--518. DOI:https://doi.org/10.1016/S0165-0114(98)00244-9.Google ScholarDigital Library
- Szmidt, E. and Kacprzyk, J. 2001. Intuitionistic fuzzy sets in some medical applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2206 LNCS, (2001), 148--151. DOI:https://doi.org/10.1007/3-540-45493-4_19.Google Scholar
- Thor, J. et al. 2013. Comparison of Multi Criteria Decision Making Methods From The Maintenance Alternative Selection Perspective. International Journal Of Engineering And Science (IJES). (2013).Google Scholar
- Tseng, M.L. 2011. Green supply chain management with linguistic preferences and incomplete information. Applied Soft Computing Journal. 11, 8 (2011), 4894--4903. DOI:https://doi.org/10.1016/j.asoc.2011.06.010.Google ScholarDigital Library
- Vlachos, I.K. and Sergiadis, G.D. 2007. Intuitionistic fuzzy information - Applications to pattern recognition. Pattern Recognition Letters. 28, 2 (2007), 197--206. DOI:https://doi.org/10.1016/j.patrec.2006.07.004.Google ScholarDigital Library
- Waaly, A.N. et al. 2018. Development of sustainable procurement monitoring system performance based on Supply Chain Reference Operation (SCOR) and Analytical Hierarchy Process (AHP) on leather tanning industry. MATEC Web of Conferences. 204, (2018). DOI:https://doi.org/10.1051/matecconf/201820401008.Google Scholar
- Wood, D.A. 2016. Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting. Journal of Natural Gas Science and Engineering. 28, (2016), 594--612. DOI:https://doi.org/10.1016/j.jngse.2015.12.021.Google ScholarCross Ref
- Xu, Z. 2007. Intuitionistic preference relations and their application in group decision making. Information Sciences. 177, 11 (2007), 2363--2379. DOI:https://doi.org/10.1016/j.ins.2006.12.019.Google ScholarDigital Library
- Yu, X. and Xu, Z. 2013. Prioritized intuitionistic fuzzy aggregation operators. Information Fusion. 14, 1 (2013), 108--116. DOI:https://doi.org/10.1016/j.inffus.2012.01.011.Google ScholarDigital Library
- Yue, Z. 2013. An intuitionistic fuzzy projection-based approach for partner selection. Applied Mathematical Modelling. 37, 23 (2013), 9538--9551. DOI:https://doi.org/10.1016/j.apm.2013.05.007.Google ScholarCross Ref
- Zadeh, L.A. 1965. Fuzzy sets. Information and Control. (1965). DOI:https://doi.org/10.1016/S0019-9958(65)90241-X.Google Scholar
- Zhang, S.F. and Liu, S.Y. 2011. A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications. 38, 9 (2011), 11401--11405. DOI:https://doi.org/10.1016/j.eswa.2011.03.012.Google ScholarDigital Library
Index Terms
- Designing Vendor Selection System Using Intuitionistic Fuzzy TOPSIS and Entropy Weighting Method in Oil and Gas Industry
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