Abstract
Interval neutrosophic number (INN), which is descripted by the degree of truth-membership, indeterminacy-membership and falsity-membership of an element, is a powerful information tool with many application areas. The purpose of this study is to develop an extended form of COPRAS (Complex Proportional Assessment) method used for solving the decision making problems in which all the data presented by decision makers is in the form of interval neutrosophic matrix presented by INNs, and the information about criterion weights is partially known or completely unknown. In order to accomplish this goal, a new score function and an accuracy function that consider the decision maker’s risk attitude are defined under a parameter called the risk index to determine the ordering of INNs. Then, based on Maclaurin symmetric mean (MSM) operator that can capture the interrelationships among multi-input arguments, some aggregation operators are defined, such as interval neutrosophic Maclaurin symmetric mean (INMSM) operator and interval neutrosophic weighted Maclaurin symmetric mean (INWMSM) operator. Moreover, some optimization models are established to determine the subjective and objective weights of decision criteria. A numerical problem is solved to demonstrate the effective and feasible structure of the developed method. Then, a sensitive analysis is conducted according to the decision maker’s risk attitude, and the advantages of the developed method are listed. Finally, a comparison analysis is provided to present the relationships among the developed method and existing methods, and some conclusions are given at the end of the study.
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References
Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Atanassov, K., Gargov, G.: Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31(3), 343–349 (1989)
Broumi, S., Smarandache, F.: Correlation coefficient of interval neutrosophic set. Appl. Mech. Mater. 436, 511–517 (2013)
Broumi, S., Smarandache, F.: Cosine similarity measure of interval valued neutrosophic sets. Neutrosophic Sets Syst. 5, 15–20 (2014)
Biswas, P., Pramanik, S., Giri, B.C.: TOPSIS method for multi-criteria group decision-making under simplified neutrosophic environment. Neural Comput. Appl. 27(3), 727–737 (2016)
Beliakov, G., James, S.: On extending generalized Bonferroni means to Atanassov orthopairs in decision making contexts. Fuzzy Sets Syst. 211, 84–98 (2013)
Chi, P., Liu, P.: An extended TOPSIS method for the multiple attribute decision making problems based on interval neutrosophic set. Neutrosophic Sets Syst. 1, 63–70 (2013)
Hashemkhani Zolfani, S., Rezaeiniya, N., Aghdaie, M.H., Zavadskas, E.K.: Quality control manager selection based on AHP-COPRAS-G methods: a case in Iran. Ekonomska istrazivanja Econ. Res. 25(1), 88–104 (2012)
Liu, P.D., Wang, Y.: Interval neutrosophic prioritized OWA operator and its application to multiple attribute decision making. J. Syst. Sci. Complex. 29, 681–697 (2016)
Liu, P.D., Tang, G.: Some power generalized aggregation operators based on the interval neutrosophic sets and their application to decision making. J. Intell. Fuzzy Syst. 30(5), 2517–2528 (2016)
Maclaurin, C.A.: Second letter to Martin Folkes, Esq.; concerning the roots of equations, with demonstration of other rules of algebra. Philos. Trans. R. Soc. Lond. Ser. A 36, 59–96 (1729)
Razavi Hajiagha, S.H., Hashemi, S.S., Zavadskas, E.K.: A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment. Technol. Econ. Dev. Econ. 19(1), 22–37 (2013)
Qin, J., Liu, X.: An approach to intuitionistic fuzzy multiple attribute decision making based on Maclaurin symmetric mean operators. J. Intell. Fuzzy Syst. 27(5), 2177–2190 (2015)
Smarandache, F.: A generalization of the intuitionistic fuzzy set. Int. J. Pure Appl. Math. 24, 287–297 (2005)
Smarandache, F.: A unifying field in logics. Neutrosophy: Neutrosophic probability, set and logic. American Research Press, Rehoboth (1999)
Şahin, R.: Cross-entropy measure on interval neutrosophic sets and its applications in multicriteria decision making. Neural Comput. Appl. 28(5), 1177–1187 (2017)
Tian, Z.P., Zhang, H.Y., Wang, J., Wang, J.Q., Chen, X.H.: Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets. Int. J. Syst. Sci. 47(15), 3598–3608 (2016)
Wang, H., Smarandache, F., Zhang, Y.Q., Sunderraman, R.: Single valued neutrosophic sets. Multispace Multistructure 4, 410–413 (2010)
Wang, H., Smarandache, F., Zhang, Y.Q., Sunderraman, R.: Interval Neutrosophic Sets and Logic: Theory and Applications in Computing’. Hexis, Phoenix, AZ (2005)
Xiaoli, L.: An approach to interval-valued intuitionistic fuzzy multiple attribute decision making based on the MSM operator and their applications to online advertising publisher evaluation. J. Comput. Theor. Nanosci. 13(10), 7280–7284 (2016)
Ye, J.: Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. J. Intell. Fuzzy Syst. 26(1), 165–172 (2014)
Ye, J.: Interval neutrosophic multiple attribute decision-making method with credibility information. Int. J. Fuzzy Syst. 18(5), 914–923 (2016)
Ye, J.: Multi-criteria decision-making method based on the possibility degree ranking method and ordered weighted aggregation operators of interval neutrosophic numbers. J. Intell. Fuzzy Syst. 28(3), 1307–1317 (2015)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Zavadskas, E.K., Kaklauskas, A., Sarka, V.: The new method of multicriteria complex proportional assessment of projects. Technol. Econ. Dev. Econ. 1(3), 131–139 (1994)
Zavadskas, E.K., Kaklauskas, A., Peldschus, F., Turskis, Z.: Multi-attribute assessment of road design solution by using the COPRAS method. Baltic J. Road Bridge Eng. 2(4), 195–203 (2007)
Zhang, H., Wang, J.Q., Chen, X.H.: An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Comput. Appl. 27(3), 615–627 (2015)
Zhang, H.Y., Wang, J.Q., Chen, X.H.: Interval neutrosophic sets and their application in multicriteria decision making problems, Sci. Word J. Article ID 645953 (2014)
Zhu, B., Xu, Z.S.: Hesitant fuzzy Bonferroni means for multicriteria decision making. J. Oper. Res. Soc. 64(12), 1831–1840 (2013)
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Şahin, R. (2019). COPRAS Method with Neutrosophic Sets. In: Kahraman, C., Otay, İ. (eds) Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Studies in Fuzziness and Soft Computing, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-030-00045-5_19
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DOI: https://doi.org/10.1007/978-3-030-00045-5_19
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