Abstract
Group decision-making is a collaborative process to find optimal alternative based on an aggregation judgment. Various techniques have been suggested to solve decision-making problems; however, the rapid growth of uncertainties in industry and organizations highlights the application of fuzzy set theory and soft set theory in this area. In this regard, fuzzy soft model can be considered as an efficient tool in decision-making. To date, different algorithms have been proposed for solving collective decision-making problems based on fuzzy soft set theory. In order to reach the process of consensus, the existing methods have mostly used the t-norms, such as “AND” operator which can be successfully applied to individual decision-making problems including multi-source datasets. However, such approaches fail to consider multi-observer problems in group decision-making processes. Additionally, in the selection step, the existing methods lack a comprehensive priority approach; they focus on a hierarchical preference which ignores incomparable alternatives. To overcome these issues, this paper proposes an adjustable multi-criteria group decision-making approach based on a preference relationship of fuzzy soft sets. First, we construct two topological spaces over the set of objects, and then, develop a preference relationship of objects by using open sets of these two topologies. A multi-phase method is then designed to rank objects in multi-criteria group decision-making problems based on such preference relationship. We also extend the proposed algorithm to weighted case in order to have a higher level of adaptability with real-world problems. Dataset from “www.booking.com” Web site is applied to show the capability of this new method in comparison with results from the well-known literature approaches.
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References
Aktas, H., Cagman, N.: Soft sets and soft groups. Inf. Sci. 177, 2726–3332 (2007)
Alcantud, J.C.R.: A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set. Inf. Fusion 29, 142–148 (2016)
Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Cagman, N., Enginoglu, S., Citak, F.: Fuzzy soft set theory and its applications. Iran. J. Fuzzy Syst. 8, 137–147 (2011)
Cagman, N., Karatas, S., Enginoglu, S.: Fuzzy soft matrix theory and its application in decision making. Iran. J. Fuzzy Syst. 9, 109–119 (2012)
Chen, D., Tsang, E.C.C., Yeung, D.S., Wang, X.: The parameterization reduction of soft sets and its applications. Comput. Math. Appl. 49, 757–763 (2005)
Feng, F., Jun, Y.B., Liu, X., Li, L.: An adjustable approach to fuzzy soft set based decision making. J. Comput. Appl. Math. 234, 10–20 (2010)
Feng, F., Li, Y., Leoreanu-Fotea, V.: Application of level soft sets in decision making based on interval-valued fuzzy soft sets. Comput. Math. Appl. 60, 1756–1767 (2010)
Gorzalczany, M.B.: A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets Syst. 21, 1–17 (1987)
Han, B.: Comments on Normal parameter reduction in soft set based on particle swarm optimization algorithm. Appl. Math. Model. (in press)
Han, Z.Q., Wang, J.Q., Zhang, H.Y., Luo, X.X.: Group multi-criteria decision making method with triangular type-2 fuzzy numbers. Int. J. Fuzzy Syst. 18(4), 673–684 (2016)
Liao, H., Xu, Z., Zeng, X.J., Merigo, J.M.: Framework of group decision making with intuitionistic fuzzy preference information. IEEE Trans. Fuzzy Syst. 23(4), 1211–1227 (2015)
Liao, H., Xu, Z., Zeng, X.J., Xu, D.L.: An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations. Inf. Sci. 329, 274–286 (2016)
Liu, W.S., Liao, H.C.: A bibliometric analysis of fuzzy decision research during 1970–2015. Int. J. Fuzzy Syst. (2016). doi:10.1007/s40815-016-0272-z
Jiang, Y., Tang, Y., Chen, Q.: An adjustable application to intuitonistic fuzzy soft sets based decision making. Appl. Math. Model. 35, 824–836 (2011)
Jun, Y.B.: Soft BCK/BCI-algebras. Comput. Math. Appl. 56, 1408–1413 (2008)
Jun, Y.B., Lee, K.J., Zhan, J.: Soft p-ideals of soft BCI-algebras. Comput. Math. Appl. 58, 2060–2068 (2009)
Khalid, A., Abbas, M.: Distance measures and operations in intuitionistic and interval-valued intuitionistic fuzzy soft set theory. Int. J. Fuzzy Syst. 17(3), 490–497 (2015)
Kharal, A., Ahmad, B.: Mappings on fuzzy soft classes. Adv. Fuzzy Syst. 407890, 3308–3314 (2009)
Kong, Z., Gao, L., Wang, L., Li, S.: The normal parameter reduction of soft sets and its algorithm. Comput. Math. Appl. 56, 3029–3037 (2008)
Kong, Z., Gao, L., Wang, L.F.: Comment on “A fuzzy soft set theoretic approach to decision making problems”. J. Comput. Appl. Math. 223, 540–542 (2009)
Kong, Z., Wang, L., Wu, Z.: Application of fuzzy soft set in decision making problems based on grey theory. J. Comput. Appl. Math. 236, 1521–1530 (2011)
Maji, P.K., Roy, A.R.: An application of soft sets in a decision making problem. Comput. Math. Appl. 44, 1077–1083 (2002)
Maji, P.K., Biswas, R., Roy, A.R.: Fuzzy soft set. J. Fuzzy Math. 9(3), 589–602 (2001)
Maji, P.K., Biswas, R., Roy, A.R.: Intuitionistic fuzzy soft sets. J. Fuzzy Math. 9, 677–692 (2001)
Maji, P.K., Biswas, R., Roy, A.R.: Soft set theory. Comput. Math. Appl. 45, 555–562 (2003)
Maji, P.K., Roy, A.R., Biswas, R.: On intuitionistic fuzzy soft sets. J. Fuzzy Math. 12, 669–683 (2004)
Majumdar, P., Samanta, S.K.: Similarity measure of soft sets. New Math. Nat. Comput. 4(1), 1–12 (2008)
Molodtsov, D.: Soft set theory-first results. Comput. Math. Appl. 37, 19–31 (1999)
Pawlak, Z.: Rough sets. Int. J. Comput. Inform. Sci. 11(5), 341–356 (1982)
Roy, A.R., Maji, P.K.: A fuzzy soft set theoretic approach to decision making problems. J. Comput. Appl. Math. 203, 412–418 (2007)
Roy, S., Samanta, T.K.: A note on fuzzy soft topological spaces. Ann. Fuzzy Math. Inform. 3(2), 305–311 (2012)
Tanay, B., Kandemir, M.B.: Topological structure of fuzzy soft sets. Comput. Math. Appl. 61, 2952–2957 (2011)
Tang, H.: A novel fuzzy soft set approach in decision making based on grey relational analysis and Dempster-Shafer theory of evidence. Appl. Soft Comput. 31, 317–325 (2015)
Wang, X., Wang, J., Chen, X.: Fuzzy multi-criteria decision making method based on fuzzy structured element with incomplete weight information. Iran. J. Fuzzy Syst. 13(2), 1–17 (2016)
Wang, C.H., Wang, J.Q.: A multi-criteria decision-making method based on triangular intuitionistic fuzzy preference information. Intell. Autom. Soft Comput. 22(3), 473–482 (2016)
Wang, J., Wang, J.Q., Zhang, H.Y., Chen, X.H.: Multi-criteria group decision-making approach based on 2-tuple linguistic aggregation operators with multi-hesitant fuzzy linguistic information. Int. J. Fuzzy Syst. 18(1), 81–97 (2016)
Wei, G.: Approaches to interval intuitionistic trapezoidal fuzzy multiple attribute decision making with incomplete weight information. Int. J. Fuzzy Syst. 17(3), 484–489 (2015)
Yang, Y., Tan, X., Meng, C.: The multi-fuzzy soft set and its application in decision making. Appl. Math. Model. 37, 4915–4923 (2013)
Yao, Y.Y., Wong, S.K.M., Lingras, P.: A decision-theoretic rough set model. In: Ras, Z.W., Zemankova, M., Emrich, M.L. (eds.) Methodologies for Intelligent Systems, vol. 5, pp. 17–24. North-Holland, New York (1990)
Yao, Y.Y.: Three-way decisions with probabilistic rough sets. Inf. Sci. 180, 341–353 (2010)
Yu, S., Wang, J., Wang, J.Q.: An interval type-2 fuzzy likelihood-based MABAC approach and its application in selecting hotels on a tourism website. Int. J. Fuzzy Syst. doi:10.1007/s40815-016-0217-6
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Zahedi Khameneh, A., Kilicman, A., Salleh, A.R.: Fuzzy soft product topology. Ann. Fuzzy Math. Inform. 7(6), 935–947 (2014)
Zahedi Khameneh, A., Kilicman, A.: Fuzzy soft boundary. Ann. Fuzzy Math. Inform. 8(5), 687–703 (2014)
Zahedi Khameneh, A., Kilicman, A., Salleh, A.R.: An adjustable method for data ranking based on fuzzy soft sets. Indian J. Sci. Technol. doi:10.17485/ijst/2015/v8i21/72587
Zhang, Z.: A rough set approach to intuitionistic fuzzy soft set based decision making. Appl. Math. Model. 36, 4605–4633 (2012)
Zhang, Z., Wang, C., Tian, D., Li, K.: A novel approach to interval-valued intuitionistic fuzzy soft set based decision making. Appl. Math. Model. 38, 1255–1270 (2014)
Zhang, Z.: Some hesitant multiplicative aggregation operators and their application in group decision making with hesitant multiplicative preference relations. Int. J. Fuzzy Syst. 18(2), 177–197 (2016)
Zhou, M., Li, S.: Algebraic and topological structures based on novel soft set relations. J. Intell. Fuzzy Syst. 28, 747–756 (2015)
Acknowledgements
This work is partially supported by the Institute for Mathematical Research, Universiti Putra Malaysia Grant No.5527179.
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The authors declare that they have no conflicts of interests regarding the publication of this article and that they do not have any direct financial relationships that could lead to a conflict of interest for any of the authors.
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Khameneh, A.Z., Kılıçman, A. & Salleh, A.R. An Adjustable Approach to Multi-Criteria Group Decision-Making Based on a Preference Relationship Under Fuzzy Soft Information. Int. J. Fuzzy Syst. 19, 1840–1865 (2017). https://doi.org/10.1007/s40815-016-0280-z
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DOI: https://doi.org/10.1007/s40815-016-0280-z