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Year 2021, , 218 - 235, 29.03.2021

Fethullah Göçer

https://doi.org/10.17776/csj.735674
Cited By: 6

Abstract

References

  • [1] Luthra S., Govindan K., Kannan D., Mangla S.K., Garg C.P., An integrated framework for sustainable supplier selection and evaluation in supply chains, J. Clean. Prod., 140 (2017) 1686–1698.
  • [2] Büyüközkan G., Çifçi G., An integrated QFD framework with multiple formatted and incomplete preferences: A sustainable supply chain application, Appl. Soft Comput. J., 13 (2013) 3931–3941.
  • [3] Brauers W.K.M., Zavadskas E.K., The MOORA method and its application to privatization in a transition economy, Control Cybern., 35 (2006) 445–469.
  • [4] Saaty T.L., The analytic hierarchy process: planning, priority setting, resources allocation, McGraw-Hill. (1980).
  • [5] Hwang C.L., Yoon K., Multiple Attribute Decision Making-Methods and Application, New York: Springer, (1981).
  • [6] Zadeh L.A., Fuzzy sets, Inf. Control., 8 (1965) 338–353.
  • [7] Atanassov K.., Intuitionistic fuzzy sets, Fuzzy Sets Syst., 20 (1986) 87–96.
  • [8] Yager R.R., Abbasov A.M., Pythagorean Membership Grades, Complex Numbers, and Decision Making, Int. J. Intell. Syst., 28 (2013) 436–452.
  • [9] Yager R.R., Pythagorean Membership Grades in Multicriteria Decision Making, IEEE Trans. Fuzzy Syst., 22 (2014) 958–965.
  • [10] Büyüközkan G., Göçer F., Smart medical device selection based on intuitionistic fuzzy Choquet integral, Soft Comput., 23 (2019) 10085–10103.
  • [11] Büyüközkan G., Göçer F., Karabulut Y., A new group decision making approach with IF AHP and IF VIKOR for selecting hazardous waste carriers, Measurement., 134 (2019) 66–82.
  • [12] Büyüközkan G., Göçer F., A Novel Approach Integrating AHP and COPRAS Under Pythagorean Fuzzy Sets for Digital Supply Chain Partner Selection, IEEE Trans. Eng. Manag., (2021) 1–18.
  • [13] Yucesan M., Gul M., Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS, Soft Comput., 24 (2020) 3237–3255.
  • [14] Çalık A., A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era, Soft Comput., 24 (2020) 3237–3255.
  • [15] Liu H.-C., Quan M.-Y., Li Z., Wang Z.-L., A new integrated MCDM model for sustainable supplier selection under interval-valued intuitionistic uncertain linguistic environment, Inf. Sci. (Ny). 486 (2019) 254–270. [16] Zimmer K., Fröhling M., Schultmann F., Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development, Int. J. Prod. Res., 54 (2016) 1412–1442.
  • [17] Xu Z., Qin J., Liu J., Martínez L., Sustainable supplier selection based on AHPSort II in interval type-2 fuzzy environment, Inf. Sci., 483 (2019) 273–293.
  • [18] Rabbani M., Foroozesh N., Mousavi S.M., Farrokhi-Asl H., Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty, Int. J. Syst. Sci. Oper. Logist., 6 (2019) 162–178.
  • [19] Abdel-Baset M., Chang V., Gamal A., Smarandache F., An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field, Comput. Ind., 106 (2019) 94–110.
  • [20] Song Y., Li G., A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection, J. Oper. Res. Soc., 70 (2019) 827–841.
  • [21] Pishchulov G., Trautrims A., Chesney T., S. Gold, L. Schwab, The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection, Int. J. Prod. Econ., 211 (2019) 166–179.
  • [22] Foroozesh N., Tavakkoli-Moghaddam R., Mousavi S.M., An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem, J. Intell. Fuzzy Syst., 36 (2019) 1855–1866.
  • [23] Ozdemir Y., Gul M., Measuring development levels of NUTS-2 regions in Turkey based on capabilities approach and multi-criteria decision-making, Comput. Ind. Eng., 128 (2019) 150–169.
  • [24] Tepe S., Kaya İ., A fuzzy-based risk assessment model for evaluations of hazards with a real-case study, Hum. Ecol. Risk Assess. An Int. J., (2019) 1–26.
  • [25] Gul M., Ak M.F., A comparative outline for quantifying risk ratings in occupational health and safety risk assessment, J. Clean. Prod., 196 (2018) 653–664.
  • [26] Gul M., Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit, Int. J. Occup. Saf. Ergon., (2018) 1–14.
  • [27] Gul M., Guneri A.F., Nasirli S.M., A fuzzy-based model for risk assessment of routes in oil transportation, Int. J. Environ. Sci. Technol., 16 (2019) 4671–4686.
  • [28] Zhang X., Xu Z., Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets, Int. J. Intell. Syst., 29 (2014) 1061–1078.
  • [29] Garg H., A New Improved Score Function of an Interval-Valued Pythagorean Fuzzy Set based TOPSIS Method, Int. J. Uncertain. Quantif., 7 (2017) 463–474.
  • [30] Khan A., Abdullah S., Yousaf M.A., Hussain I., Farooq M., Extension of TOPSIS method base on Choquet integral under interval-valued Pythagorean fuzzy environment, J. Intell. Fuzzy Syst., 34 (2018) 267–282.
  • [31] Liang D., Xu Z., The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets, Appl., Soft Comput., 60 (2017) 167–179.
  • [32] Onar S.C., Oztaysi B., Kahraman C., Multicriteria Evaluation of Cloud Service Providers Using Pythagorean Fuzzy TOPSIS, J. Mult. Log. Soft Comput., 30 (2018) 263–283.
  • [33] Oz N.E., Mete S., Serin F., Gul M., Risk assessment for clearing and grading process of a natural gas pipeline project: An extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards, Hum. Ecol. Risk Assess., An Int. J., (2018) 1–18.
  • [34] Sajjad Ali Khan M., Ali A., Abdullah S., Amin F., Hussain F., New extension of TOPSIS method based on Pythagorean hesitant fuzzy sets with incomplete weight information, J. Intell. Fuzzy Syst., 35 (2018) 5435–5448.
  • [35] Biswas A., Sarkar B., Pythagorean fuzzy TOPSIS for multicriteria group decision-making with unknown weight information through entropy measure, Int. J. Intell. Syst., 34 (2019) 1108–1128.
  • [36] Wang L., Wang H., Xu Z., Ren Z., The interval‐valued hesitant Pythagorean fuzzy set and its applications with extended TOPSIS and Choquet integral‐based method, Int. J. Intell. Syst., 34 (2019) 1063–1085.
  • [37] Yager R.R., Pythagorean fuzzy subsets, in: 2013 Jt. IFSA World Congr. NAFIPS Annu., Meet., IEEE, 2013: pp. 57–61.
  • [38] Peng X., Yang Y., Some Results for Pythagorean Fuzzy Sets, Int. J. Intell. Syst., 30 (2015) 1133–1160.
  • [39] Abdullah L., Najib L., A new preference scale of intuitionistic fuzzy analytic hierarchy process in multi-criteria decision making problems., J. Intell. Fuzzy Syst., 26 (2014) 1039–1049.
  • [40] Saaty T.L., A scaling method for priorities in hierarchical structures, J. Math. Psychol., 15 (1977) 234–281.
  • [41] Feyzioğlu O., Göçer F., Büyüközkan G., Interval-valued intuitionistic fuzzy MULTIMOORA approach for new product development, in: Data Sci. Knowl. Eng. Sens. Decis. Support, World Scientific, (2018), 1066–1073.
  • [42] Büyüközkan G., Berkol Ç., Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment, Expert Syst. Appl. 38 (2011) 13731–13748.

Improving sustainable supplier evaluation by an integrated MCDM method under pythagorean fuzzy environment

Year 2021, , 218 - 235, 29.03.2021

Fethullah Göçer

https://doi.org/10.17776/csj.735674
Cited By: 6

Abstract

Sustainability plays a significant role in promoting competence and collaboration in supply chain management due to increased environmental awareness, tightened regulations, and government policies. The evaluation of sustainable suppliers and selecting the best one is indispensable for companies to promote sustainability. Due to multi-criteria nature of the supplier selection process, it has been considered as a multi-criteria decision making (MCDM) problem in many studies. In this study, a state-of-the-art MCDM method for sustainable supplier selection is developed by integrating AHP and TOPSIS techniques within the Pythagorean Fuzzy Sets (PFSs) linguistic setting. A Group Decision Making (GDM) environment is utilized due to superiority of group consensus over individual decisions. Finally, an apparel industry example is used to illustrate the effectiveness and feasibility of the proposed sustainable supplier selection method. A comparison with existing techniques and sensitivity analysis are done to verify and validate the given outcome.

Keywords

Sustainability Supplier Selection Group Decision Making (GDM) Analytic Hierarchy Process (AHP) Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) Pythagorean Fuzzy Sets (PFSs)

References

  • [1] Luthra S., Govindan K., Kannan D., Mangla S.K., Garg C.P., An integrated framework for sustainable supplier selection and evaluation in supply chains, J. Clean. Prod., 140 (2017) 1686–1698.
  • [2] Büyüközkan G., Çifçi G., An integrated QFD framework with multiple formatted and incomplete preferences: A sustainable supply chain application, Appl. Soft Comput. J., 13 (2013) 3931–3941.
  • [3] Brauers W.K.M., Zavadskas E.K., The MOORA method and its application to privatization in a transition economy, Control Cybern., 35 (2006) 445–469.
  • [4] Saaty T.L., The analytic hierarchy process: planning, priority setting, resources allocation, McGraw-Hill. (1980).
  • [5] Hwang C.L., Yoon K., Multiple Attribute Decision Making-Methods and Application, New York: Springer, (1981).
  • [6] Zadeh L.A., Fuzzy sets, Inf. Control., 8 (1965) 338–353.
  • [7] Atanassov K.., Intuitionistic fuzzy sets, Fuzzy Sets Syst., 20 (1986) 87–96.
  • [8] Yager R.R., Abbasov A.M., Pythagorean Membership Grades, Complex Numbers, and Decision Making, Int. J. Intell. Syst., 28 (2013) 436–452.
  • [9] Yager R.R., Pythagorean Membership Grades in Multicriteria Decision Making, IEEE Trans. Fuzzy Syst., 22 (2014) 958–965.
  • [10] Büyüközkan G., Göçer F., Smart medical device selection based on intuitionistic fuzzy Choquet integral, Soft Comput., 23 (2019) 10085–10103.
  • [11] Büyüközkan G., Göçer F., Karabulut Y., A new group decision making approach with IF AHP and IF VIKOR for selecting hazardous waste carriers, Measurement., 134 (2019) 66–82.
  • [12] Büyüközkan G., Göçer F., A Novel Approach Integrating AHP and COPRAS Under Pythagorean Fuzzy Sets for Digital Supply Chain Partner Selection, IEEE Trans. Eng. Manag., (2021) 1–18.
  • [13] Yucesan M., Gul M., Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS, Soft Comput., 24 (2020) 3237–3255.
  • [14] Çalık A., A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era, Soft Comput., 24 (2020) 3237–3255.
  • [15] Liu H.-C., Quan M.-Y., Li Z., Wang Z.-L., A new integrated MCDM model for sustainable supplier selection under interval-valued intuitionistic uncertain linguistic environment, Inf. Sci. (Ny). 486 (2019) 254–270. [16] Zimmer K., Fröhling M., Schultmann F., Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development, Int. J. Prod. Res., 54 (2016) 1412–1442.
  • [17] Xu Z., Qin J., Liu J., Martínez L., Sustainable supplier selection based on AHPSort II in interval type-2 fuzzy environment, Inf. Sci., 483 (2019) 273–293.
  • [18] Rabbani M., Foroozesh N., Mousavi S.M., Farrokhi-Asl H., Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty, Int. J. Syst. Sci. Oper. Logist., 6 (2019) 162–178.
  • [19] Abdel-Baset M., Chang V., Gamal A., Smarandache F., An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field, Comput. Ind., 106 (2019) 94–110.
  • [20] Song Y., Li G., A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection, J. Oper. Res. Soc., 70 (2019) 827–841.
  • [21] Pishchulov G., Trautrims A., Chesney T., S. Gold, L. Schwab, The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection, Int. J. Prod. Econ., 211 (2019) 166–179.
  • [22] Foroozesh N., Tavakkoli-Moghaddam R., Mousavi S.M., An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem, J. Intell. Fuzzy Syst., 36 (2019) 1855–1866.
  • [23] Ozdemir Y., Gul M., Measuring development levels of NUTS-2 regions in Turkey based on capabilities approach and multi-criteria decision-making, Comput. Ind. Eng., 128 (2019) 150–169.
  • [24] Tepe S., Kaya İ., A fuzzy-based risk assessment model for evaluations of hazards with a real-case study, Hum. Ecol. Risk Assess. An Int. J., (2019) 1–26.
  • [25] Gul M., Ak M.F., A comparative outline for quantifying risk ratings in occupational health and safety risk assessment, J. Clean. Prod., 196 (2018) 653–664.
  • [26] Gul M., Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit, Int. J. Occup. Saf. Ergon., (2018) 1–14.
  • [27] Gul M., Guneri A.F., Nasirli S.M., A fuzzy-based model for risk assessment of routes in oil transportation, Int. J. Environ. Sci. Technol., 16 (2019) 4671–4686.
  • [28] Zhang X., Xu Z., Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets, Int. J. Intell. Syst., 29 (2014) 1061–1078.
  • [29] Garg H., A New Improved Score Function of an Interval-Valued Pythagorean Fuzzy Set based TOPSIS Method, Int. J. Uncertain. Quantif., 7 (2017) 463–474.
  • [30] Khan A., Abdullah S., Yousaf M.A., Hussain I., Farooq M., Extension of TOPSIS method base on Choquet integral under interval-valued Pythagorean fuzzy environment, J. Intell. Fuzzy Syst., 34 (2018) 267–282.
  • [31] Liang D., Xu Z., The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets, Appl., Soft Comput., 60 (2017) 167–179.
  • [32] Onar S.C., Oztaysi B., Kahraman C., Multicriteria Evaluation of Cloud Service Providers Using Pythagorean Fuzzy TOPSIS, J. Mult. Log. Soft Comput., 30 (2018) 263–283.
  • [33] Oz N.E., Mete S., Serin F., Gul M., Risk assessment for clearing and grading process of a natural gas pipeline project: An extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards, Hum. Ecol. Risk Assess., An Int. J., (2018) 1–18.
  • [34] Sajjad Ali Khan M., Ali A., Abdullah S., Amin F., Hussain F., New extension of TOPSIS method based on Pythagorean hesitant fuzzy sets with incomplete weight information, J. Intell. Fuzzy Syst., 35 (2018) 5435–5448.
  • [35] Biswas A., Sarkar B., Pythagorean fuzzy TOPSIS for multicriteria group decision-making with unknown weight information through entropy measure, Int. J. Intell. Syst., 34 (2019) 1108–1128.
  • [36] Wang L., Wang H., Xu Z., Ren Z., The interval‐valued hesitant Pythagorean fuzzy set and its applications with extended TOPSIS and Choquet integral‐based method, Int. J. Intell. Syst., 34 (2019) 1063–1085.
  • [37] Yager R.R., Pythagorean fuzzy subsets, in: 2013 Jt. IFSA World Congr. NAFIPS Annu., Meet., IEEE, 2013: pp. 57–61.
  • [38] Peng X., Yang Y., Some Results for Pythagorean Fuzzy Sets, Int. J. Intell. Syst., 30 (2015) 1133–1160.
  • [39] Abdullah L., Najib L., A new preference scale of intuitionistic fuzzy analytic hierarchy process in multi-criteria decision making problems., J. Intell. Fuzzy Syst., 26 (2014) 1039–1049.
  • [40] Saaty T.L., A scaling method for priorities in hierarchical structures, J. Math. Psychol., 15 (1977) 234–281.
  • [41] Feyzioğlu O., Göçer F., Büyüközkan G., Interval-valued intuitionistic fuzzy MULTIMOORA approach for new product development, in: Data Sci. Knowl. Eng. Sens. Decis. Support, World Scientific, (2018), 1066–1073.
  • [42] Büyüközkan G., Berkol Ç., Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment, Expert Syst. Appl. 38 (2011) 13731–13748.
There are 41 citations in total.

Details

Primary Language English
Subjects Chemical Engineering
Journal Section Engineering Sciences
Authors

Fethullah Göçer 0000-0001-9381-4166

Publication Date March 29, 2021
Submission Date May 16, 2020
Acceptance Date March 2, 2021
Published in Issue Year 2021

Cite

APA Göçer, F. (2021). Improving sustainable supplier evaluation by an integrated MCDM method under pythagorean fuzzy environment. Cumhuriyet Science Journal, 42(1), 218-235. https://doi.org/10.17776/csj.735674

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