Abstract
Green supplier selection problem (GSSP) is viewed as multiple attributes group decision-making (MAGDM) issue that includes the green growth and influential factors within subjective and objective natures. Because of the expanding uncertain conditions of social and economic environments, some assessment factors are not sufficiently described by numerical appraisals and classic fuzzy sets. Moreover, supply chain decision makers (DMs) may not provide complete rationality under numerous viable choice circumstances. In this research, a new MAGDM model is proposed by interval type-2 trapezoidal fuzzy numbers (IT2TrFNs) via some matrices of possibilistic mean and standard deviation statistical concepts. A new weighting method of experts within the group decision-making process is developed based on possibilistic statistical information. Also, a new ranking process based on relative-closeness coefficients is presented to rank all green supplier candidates under IT2TrF uncertainty. Finally, this research offers an illustrative example in supply chain networks to appraise green supplier candidates in terms of some factors by the proposed model along with the comparison to a recent decision method.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Abbreviations
- GSSP:
-
Green supplier selection problem
- MAGDM:
-
Multiple attributes group decision making
- DMs:
-
Decision makers
- GDM:
-
Group decision making
- IT2FSs:
-
Interval type-2 fuzzy sets
- IT2TrFNs:
-
Interval type-2 trapezoidal fuzzy numbers
- GSCM:
-
Green supply chain management
- GRA:
-
Grey relational analysis
- ANP:
-
Analytic network process
- TOPSIS:
-
Technique for order of preference by similarity to ideal solution
- PROMETHEE:
-
Preference ranking organization method for enrichment evaluations
- DEMATEL:
-
Decision-making trial and evaluation laboratory
- QFD:
-
Quality function deployment
- COPRAS:
-
Complex proportional assessment
- AHP:
-
Analytic hierarchy process
- VIKOR:
-
The acronym is in Serbian: VlseKriterijumska Optimizacija I Kompromisno Resenje, meaning multicriteria optimization and compromise solution
- PM:
-
Possibilistic mean
- PSD:
-
Possibilistic standard deviation
- SCs:
-
Statistical concepts
- L-NID:
-
Left negative ideal decision
- R-NID:
-
Right negative ideal decision
- PIV:
-
Positive ideal vector
- NIV:
-
Negative ideal vector
References
Awasthi A, Govindan K (2016) Green supplier development program selection using NGT and VIKOR under fuzzy environment. Comput Ind Eng 91:100–108
Baležentis T, Zeng S (2013) Group multi-criteria decision making based upon interval-valued fuzzy numbers: an extension of the MULTIMOORA method. Expert Syst Appl 40(2):543–550
Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M (2018) Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Comput Oper Res 89:337–347
Baskaran V, Nachiappan S, Rahman S (2012) Indian textile suppliers’ sustainability evaluation using the grey approach. Int J Prod Econ 135(2):647–658
Boiral O (2006) Global warming: should companies adopt a proactive strategy? Long Range Plan 39(3):315–330
Chatterjee K, Pamucar D, Zavadskas EK (2018) Evaluating the performance of suppliers based on using the R’AMATEL-MAIRCA method for green supply chain implementation in electronics industry. J Clean Prod 184:101–129
Chen SM, Lee LW (2010) Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst Appl 37(4):2790–2798
Dobos I, Vörösmarty G (2019) Inventory-related costs in green supplier selection problems with data envelopment analysis (DEA). Int J Prod Econ 209:374–380
Dorfeshan Y, Mousavi SM, Vahdani B, Siadat A (2019) Determining project characteristics and critical path by a new approach based on modified NWRT method and risk assessment under an interval type-2 fuzzy environment. Sci Iran 26(4):2579–2600
Ebrahimnejad S, Mousavi SM, Tavakkoli-Moghaddam R, Hashemi H, Vahdani B (2012) A novel two-phase group decision making approach for construction project selection in a fuzzy environment. Appl Math Model 36(9):4197–4217
Eshghi A, Mousavi SM, Mohagheghi V (2019) A new interval type-2 fuzzy approach for analyzing and monitoring the performance of megaprojects based on earned value analysis (with a case study). Neural Comput Appl 31:5109–5133
Fernando Y, Jabbour CJC, Wah WX (2019) Pursuing green growth in technology firms through the connections between environmental innovation and sustainable business performance: Does service capability matter? Resour Conserv Recycl 141:8–20
Foroozesh N, Tavakkoli-Moghaddam R (2018) Assessment of green supplier development programs by a new group decision-making model considering possibilistic statistical uncertainty. J Qual Eng Prod Optim 3(2):1–10
Gavareshki MHK, Hosseini SJ, Khajezadeh M (2017) A case study of green supplier selection method using an integrated ISM-fuzzy MICMAC analysis and multi-criteria decision making. Ind Eng Manag Syst 16(4):562–573
Gavronski I, Klassen RD, Vachon S, do Nascimento LFM (2011) A resource-based view of green supply management. Transp Res Part E Logist Transp Rev 47(6):872–885
Gitinavard H, Ghaderi H, Pishvaee MS (2018) Green supplier evaluation in manufacturing systems: a novel interval-valued hesitant fuzzy group outranking approach. Soft Comput 22(19):6441–6460
Gong Y, Yang S, Dai L, Hu N (2017) A new approach for ranking of interval type-2 trapezoidal fuzzy numbers. J Intell Fuzzy Syst 32(3):1891–1902
Govindan K, Khodaverdi R, Jafarian A (2013) A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. J Clean Prod 47:345–354
Govindan K, Kadziński M, Sivakumar R (2017) Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega 71:129–145
Grabisch M, Marichal JL, Mesiar R, Pap E (2009) Aggregation functions, vol 127. Cambridge University Press, Cambridge
Grabisch M, Marichal JL, Mesiar R, Pap E (2011a) Aggregation functions: means. Inf Sci 181(1):1–22
Grabisch M, Marichal JL, Mesiar R, Pap E (2011b) Aggregation functions: construction methods, conjunctive, disjunctive and mixed classes. Inf Sci 181(1):23–43
Haghighi MH, Mousavi SM, Mohagheghi V (2019) A new soft computing model based on linear assignment and linear programming technique for multidimensional analysis of preference with interval type-2 fuzzy sets. Appl Soft Comput 77:780–796
Hashemi SH, Karimi A, Tavana M (2015) An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. Int J Prod Econ 159:178–191
Hsu CW, Hu AH (2009) Applying hazardous substance management to supplier selection using analytic network process. J Clean Prod 17(2):255–264
Jabbour ABL, Jabbour CJ (2009) Are supplier selection criteria going green? Case studies of companies in Brazil. Ind Manag Data Syst 109(4):477–495
Jiang P, Hu YC, Yen GF, Tsao SJ (2018) Green supplier selection for sustainable development of the automotive industry using grey decision-making. Sustain Dev. https://doi.org/10.1002/sd.186014jiangetal
Kannan D, de Sousa Jabbour ABL, Jabbour CJC (2014) Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company. Eur J Oper Res 233(2):432–447
Keshavarz-Ghorabaee M, Zavadskas EK, Amiri M, Esmaeili A (2016) Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. J Clean Prod 137:213–229
Keshavarz-Ghorabaee M, Amiri M, Zavadskas EK, Antucheviciene J (2017a) Supplier evaluation and selection in fuzzy environments: a review of MADM approaches. Econ Res Ekon Istraž 30(1):1073–1118
Keshavarz-Ghorabaee M, Amiri M, Zavadskas EK, Turskis Z, Antucheviciene J (2017b) A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations. Comput Ind Eng 112:156–174
Kuo RJ, Wang YC, Tien FC (2010) Integration of artificial neural network and MADA methods for green supplier selection. J Clean Prod 18(12):1161–1170
Kuo RJ, Hsu CW, Chen YL (2015) Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers. Int J Environ Sci Technol 12(12):3863–3876
Large RO, Thomsen CG (2011) Drivers of green supply management performance: evidence from Germany. J Purch Supply Manag 17(3):176–184
Liou JJ, Tamošaitienė J, Zavadskas EK, Tzeng GH (2016) New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. Int J Prod Res 54(1):114–134
Mendel JM (2001) Uncertain rule-based fuzzy logic systems: introduction and new directions. Prentice Hall PTR, Upper Saddle River, pp 131–184
Mendel JM (2007) Type-2 fuzzy sets and systems: an overview. IEEE Comput Intell Mag 2(1):20–29
Mendel JM (2016) A comparison of three approaches for estimating (synthesizing) an interval type-2 fuzzy set model of a linguistic term for computing with words. Granul Comput 1(1):59–69
Mohagheghi V, Mousavi SM, Antucheviciene J, Dorfeshan Y (2019) Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment. Int J Strateg Prop Manag 23(6):422–436
Noci G (1997) Designing ‘green’ vendor rating systems for the assessment of a supplier’s environmental performance. Eur J Purch Supply Manag 3(2):103–114
Pap E (1997) Pseudo-analysis as a mathematical base for soft computing. Soft Comput 1(2):61–68
Qin J, Liu X, Pedrycz W (2017) An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur J Oper Res 258(2):626–638
Shen L, Olfat L, Govindan K, Khodaverdi R, Diabat A (2013) A fuzzy multi criteria approach for evaluating green supplier’s performance in green supply chain with linguistic preferences. Resour Conserv Recycl 74:170–179
Srivastava SK (2007) Green supply-chain management: a state-of-the-art literature review. Int J Manag Rev 9(1):53–80
Tseng ML, Islam MS, Karia N, Fauzi FA, Afrin S (2019) A literature review on green supply chain management: trends and future challenges. Resour Conserv Recycl 141:145–162
Vachon S, Klassen RD (2006) Green project partnership in the supply chain: the case of the package printing industry. J Clean Prod 14(6):661–671
Vahdani B, Mousavi SM, Tavakkoli-Moghaddam R, Hashemi H (2013) A new design of the elimination and choice translating reality method for multi-criteria group decision-making in an intuitionistic fuzzy environment. Appl Math Model 37(4):1781–1799
Wan SP, Jin Z, Dong JY (2018) Pythagorean fuzzy mathematical programming method for multi-attribute group decision making with Pythagorean fuzzy truth degrees. Knowl Inf Syst 55(2):437–466
Wang J, Wei G, Yu W (2018) Models for green supplier selection with some 2-tuple linguistic neutrosophic number bonferroni mean operators. Symmetry 10(5):131
Yang S, Ding P, Wang G, Wu X (2019) Green investment in a supply chain based on price and quality competition. Soft Comput. https://doi.org/10.1007/s00500-019-03777-y
Yazdani M, Chatterjee P, Zavadskas EK, Hashemkhani Zolfani S (2017) Integrated QFD-MCDM framework for green supplier selection. J Clean Prod 142:3728–3740
Yue Z (2011) A method for group decision-making based on determining weights of decision makers using TOPSIS. Appl Math Model 35(4):1926–1936
Yue Z (2013) An avoiding information loss approach to group decision making. Appl Math Model 37(1–2):112–126
Zhu J, Li Y (2018) Green supplier selection based on consensus process and integrating prioritized operator and Choquet integral. Sustainability 10(8):2744–20766
Acknowledgements
The authors are grateful to the anonymous reviewers for their valuable comments.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Informed consent
Informed consent was not required as no human or animals were involved.
Human and animal rights
This article does not contain any studies with human or animal subjects performed by any of the authors.
Additional information
Communicated by V. Loia.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Mousavi, S.M., Foroozesh, N., Zavadskas, E.K. et al. A new soft computing approach for green supplier selection problem with interval type-2 trapezoidal fuzzy statistical group decision and avoidance of information loss. Soft Comput 24, 12313–12327 (2020). https://doi.org/10.1007/s00500-020-04675-4
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-020-04675-4