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Neural Computing and Applications

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16.06.2016 | Original Article

An extension of the ELECTRE approach with multi-valued neutrosophic information

verfasst von: Juan-juan Peng, Jian-qiang Wang, Xiao-hui Wu

Erschienen in: Neural Computing and Applications | Sonderheft 1/2017

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Abstract

In this paper, an extension Elimination and Choice Translating Reality (ELECTRE) method is introduced to handle multi-valued neutrosophic multi-criteria decision-making (MCDM) problems. First of all, some outranking relations for multi-valued neutrosophic numbers (MVNNs), which are based on traditional ELECTRE methods, are defined, and several properties are analyzed. In the next place, an outranking method to deal with MCDM problems similar to ELECTRE III, where weights and data are in the form of MVNNs, is developed. At last, an example is provided to demonstrate the proposed approach and testify its validity and feasibility. This study is supported by the comparison analysis with other existing methods.

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Smarandache F (1998) Neutrosophy. Neutrosophic probability, set, and logic. American Research Press, Rehoboth, pp 1–105MATH

Smarandache F (1999) A unifying field in logics. Neutrosophy: neutrosophic probability, set and logic. American Research Press, Rehoboth, pp 1–141

Smarandache F (2005) A unifying field in logics: neutrosophic logic. Neutrosophy, neutrosophic set, neutrosophic probability: neutrsophic logic. Neutrosophy, neutrosophic set, neutrosophic probability and statistics, American Research Press, Rehoboth, pp 1–156, 2005

Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96CrossRefMATH

Wang H, Smarandache F, Zhang YQ, Sunderraman R (2010) Single valued neutrosophic sets. Multispace Multistruct 4:410–413MATH

Wang H, Smarandache F, Zhang YQ, Sunderraman R (2005) Interval neutrosophic sets and logic: theory and applications in computing. Hexis, ArizonaMATH

Ye J (2013) Multicriteria decision-making method using the correlation coefficient under single-value neutrosophic environment. Int J Gen Syst 42(4):386–394MathSciNetCrossRefMATH

Ye J (2014) A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. J Intell Fuzzy Syst 26(5):2459–2466MathSciNetMATH

Deli I, Broumi S, Ali M (2014) Neutrosophic soft multi-set theory and its decision making. Neutrosophic Sets Syst 5:65–76MATH

10.

Peng JJ, Wang JQ, Zhang HY, Chen XH (2014) An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets. Appl Soft Comput 25:336–346CrossRef

11.

Ye J (2014) Single valued neutrosophic cross-entropy for multicriteria decision making problems. Appl Math Model 38(3):1170–1175MathSciNetCrossRef

12.

Ye J (2014) Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. J Intell Fuzzy Syst 26(1):165–172MATH

13.

Deli I (2015) Interval-valued neutrosophic soft sets and its decision making. Int J Mach Learn Cybern 11:1–12

14.

Deli I, Broumi S, Smarandache F (2015) On neutrosophic refined sets and their applications in medical diagnosis. J New Theory 6:88–98

15.

Liu P, Shi L (2015) The generalized hybrid weighted average operator based on interval neutrosophic hesitant set and its application to multiple attribute decision making. Neural Comput Appl 26:457–471CrossRef

16.

Broumi S, Deli I, Smarandache F (2015) N-valued interval neutrosophic sets and their application in medical diagnosis, Critical Review, Center for Mathematics of Uncertainty, Creighton University, 10:46–69

17.

Ye J (2015) Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses. Artif Intell Med 63:171–179CrossRef

18.

Deli I, Şubaş Y (2016) A ranking method of single valued neutrosophic numbers and its applications to multiattribute decision making problems. Int J Mach Learn Cybern 2:1–14

19.

Broumi S, Deli I (2016) Correlation measure for neutrosophic refined sets and its application in medical Diagnosis. Palest J Math 5(1):135–143MathSciNetMATH

20.

Wu XH, Wang JQ, Peng JJ, Chen XH (2016) Cross-entropy and prioritized aggregation operator with simplified neutrosophic sets and their application in multi-criteria decision-making problems. Int J Fuzzy Syst. doi:10.1007/s40815-016-0180-2

21.

Peng JJ, Wang JQ, Wang J, Zhang HY, Chen XH (2016) Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. Int J Syst Sci 47(10):2342–2358CrossRefMATH

22.

Liu PD, Wang YM (2014) Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean. Neural Comput Appl 25(7):2001–2010CrossRef

23.

Liu PD, Liu X (2016) The neutrosophic number generalized weighted power averaging operator and its application in multiple attribute group decision making. Int J Mach Learn Cybern. doi:10.1007/s13042-016-0508-0

24.

Liu PD, Chu YC, Li YW, Chen YB (2014) Some generalized neutrosophic number Hamacher aggregation operators and their application to group decision making. Int J Fuzzy Syst 16(2):242–255

25.

Zhang HY, Ji P, Wang JQ, Chen XH (2016) A neutrosophic normal cloud and its application in decision-making. Cognit Comput. doi:10.1007/s12559-016-9394-8

26.

Zhang HY, Ji P, Wang JQ, Chen XH (2015) Improved weighted correlation coefficient based on integrated weight for interval neutrosophic sets and its application in multi-criteria decision making problems. Int J Comput Intell Syst 8(6):1027–1043CrossRef

27.

Tian ZP, Zhang HY, Wang J, Wang JQ, Chen XH (2016) Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets. Int J Syst Sci 47(15):3598–3608CrossRefMATH

28.

Wang JQ, Li XE (2015) An application of the TODIM method with multi-valued neutrosophic set. Control Decis 30(6):1139–1142MathSciNet

29.

Ye J (2015) Multiple-attribute decision-making method under a single-valued neutrosophic hesitant fuzzy environment. J Intell Syst 24(1):23–36

30.

Torra V (2010) Hesitant fuzzy sets. Int J Intell Syst 25:529–539MATH

31.

Torra V, Narukawa Y (2009) On hesitant fuzzy sets and decision. The 18th IEEE international conference on fuzzy systems. Jeju Island, Korea, pp 1378–1382

32.

Peng JJ, Wang JQ, Wu XH, Wang J, Chen XH (2015) Multi-valued neutrosophic sets and power aggregation operators with their applications in multi-criteria group decision- making problems. Int J Comput Intell Syst 8(4):345–363CrossRef

33.

Benayoun R, Roy B, Sussman B (1996) ELECTRE: Une méthode pour guider le choix en présence de points de vue multiples, Note de travail

34.

Roy B (1991) The outranking approach and the foundations of ELECTRE methods. Theor Decis 31:49–73MathSciNetCrossRef

35.

Figueira J, Mousseau V, Roy B (2005) ELECTRE methods. In: Fuguera J, Greco S, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer, Boston, vol. 39, pp. 133–153

36.

Wang X, Triantaphyllou E (2008) Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega 36(1):45–63CrossRef

37.

Hokkanen J, Salminen P (1997) ELECTRE III and IV decision aids in an environmental problem. J Multi-Crit Decis Anal 6:215–226CrossRefMATH

38.

Ermatita, Hartati S, Wardoyo R, Harjoko A (2011) Electre methods in solving group decision support system bioinformatics on gene mutation detection simulation. Int J Comput Sci Inf Technol 3(1):40–52

39.

Kaya T, Kahraman C (2011) An integrated fuzzy AHP–ELECTRE methodology for environmental impact assessment. Expert Syst Appl 38:8553–8562CrossRef

40.

Devi K, Yadav SP (2013) A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method. Int J Adv Manuf Technol 66(9–12):1219–1229CrossRef

41.

Vahdani B, Jabbari A, Roshanaei V, Zandieh M (2010) Extension of the ELECTRE method for decision-making problems with interval weights and data. Int J Adv Manuf Technol 50(5–8):793–800CrossRef

42.

Vahdani B, Hadipour H (2011) Extension of the ELECTRE method based on interval-valued fuzzy sets. Soft Comput 15:569–579CrossRef

43.

Chen TY (2014) An ELECTRE-based outranking method for multiple criteria group decision making using interval type-2 fuzzy sets. Inf Sci 263:1–21MathSciNetCrossRefMATH

44.

Chen TY (2014) Multiple criteria decision analysis using a likelihood-based outranking method based on interval-valued intuitionistic fuzzy sets. Inf Sci 286:188–208CrossRef

45.

Zhang HY, Wang J, Chen XH (2016) An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Comput Appl 27(3):615–627CrossRef

46.

Xu ZS, Hu H (2010) Projection models for intuitionistic fuzzy multiple attribute decision making. Int J Inf Technol Decis Mak 9:267–280CrossRefMATH

47.

Wei GW, Zhao XF, Lin R (2013) Some hesitant interval-valued fuzzy aggregation operators and their applications to multiple attribute decision making. Knowl Based Syst 46:43–53CrossRef

Titel: An extension of the ELECTRE approach with multi-valued neutrosophic information
verfasst von: Juan-juan Peng
Jian-qiang Wang
Xiao-hui Wu
Publikationsdatum: 16.06.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe Sonderheft 1/2017
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2411-8

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