nach oben

Soft Computing

Erschienen in:

29.12.2017 | Methodologies and Application

D-AHP method with different credibility of information

verfasst von: Xinyang Deng, Yong Deng

Erschienen in: Soft Computing | Ausgabe 2/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Multi-criteria decision making (MCDM) has attracted wide interest due to its extensive applications in practice. In our previous study, a method called D-AHP (AHP method extended by D numbers preference relation) was proposed to study the MCDM problems based on a D numbers extended fuzzy preference relation, and a solution for the D-AHP method has been given to obtain the weights and ranking of alternatives from the decision data, in which the results obtained by using the D-AHP method are influenced by the credibility of information. However, in previous study the impact of information’s credibility on the results is not sufficiently investigated, which becomes an unsolved issue in the D-AHP. In this paper, we focus on the credibility of information within the D-AHP method and study its impact on the results of a MCDM problem. Information with different credibilities including high, medium and low, respectively, is taken into consideration. The results show that the credibility of information in the D-AHP method slightly impacts the ranking of alternatives, but the priority weights of alternatives are influenced in a relatively obvious extent.

Vorheriger Artikel A consensus-based method for group decision making with incomplete uncertain linguistic preference relations

Nächster Artikel Multi-constraint QoS routing using a customized lightweight evolutionary strategy

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Antoine V, Quost B, Masson MH, Denoeux T (2014) CEVCLUS: evidential clustering with instance-level constraints for relational data. Soft Comput 18(7):1321–1335CrossRef

Aplak HS, Sogut MZ (2013) Game theory approach in decisional process of energy management for industrial sector. Energy Convers Manag 74:70–80CrossRef

Aplak HS, Türkbey O (2013) Fuzzy logic based game theory applications in multi-criteria decision making process. J Intell Fuzzy Syst 25(2):359–371MathSciNetMATH

Chen YH, Chao RJ (2012) Supplier selection using consistent fuzzy preference relations. Expert Syst Appl 39(3):3233–3240CrossRef

Chen SJJ, Hwang CL, Beckmann MJ, Krelle W (1992) Fuzzy multiple attribute decision making: methods and applications. Springer, New YorkCrossRef

Dempster AP (1967) Upper and lower probabilities induced by a multivalued mapping. Ann Math Stat 38(2):325–339MathSciNetMATHCrossRef

Deng Y (2012) D numbers: theory and applications. J Inf Comput Sci 9(9):2421–2428

Deng X, Jiang W (2018) An evidential axiomatic design approach for decision making using the evaluation of belief structure satisfaction to uncertain target values. Int J Intell Syst 33(1):15–32CrossRef

Deng X, Hu Y, Deng Y, Mahadevan S (2014a) Environmental impact assessment based on D numbers. Expert Syst Appl 41(2):635–643CrossRef

Deng X, Hu Y, Deng Y, Mahadevan S (2014b) Supplier selection using AHP methodology extended by D numbers. Expert Syst Appl 41(1):156–167CrossRef

Deng X, Han D, Dezert J, Deng Y, Shyr Y (2016) Evidence combination from an evolutionary game theory perspective. IEEE Trans Cybern 46(9):2070–2082CrossRef

Deng X, Xiao F, Deng Y (2017) An improved distance-based total uncertainty measure in belief function theory. Appl Intell 46(4):898–915CrossRef

Denoeux T (2013) Maximum likelihood estimation from uncertain data in the belief function framework. IEEE Trans Knowl Data Eng 25(1):119–130CrossRef

Fei L, Wang H, Chen L, Deng Y (2017) A new vector valued similarity measure for intuitionistic fuzzy sets based on OWA operators. Iran J Fuzzy Syst 15(5):31–49

García-Cascales MS, Lamata MT (2012) On rank reversal and TOPSIS method. Math Comput Model 56(5):123–132MathSciNetMATHCrossRef

Herrera-Viedma E, Herrera F, Chiclana F, Luque M (2004) Some issues on consistency of fuzzy preference relations. Eur J Oper Res 154(1):98–109MathSciNetMATHCrossRef

Herrera-Viedma E, Alonso S, Chiclana F, Herrera F (2007) A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Trans Fuzzy Syst 15(5):863–877MATHCrossRef

Jiang W, Wang S (2017) An uncertainty measure for interval-valued evidences. Int J Comput Commun Control 12(5):631–644MathSciNetCrossRef

Jiang W, Zhan J (2017) A modified combination rule in generalized evidence theory. Appl Intell 46(3):630–640CrossRef

Jiang W, Wei B, Tang Y, Zhou D (2017a) Ordered visibility graph average aggregation operator: an application in produced water management. Chaos Interdiscip J Nonlinear Sci 27(2):023117CrossRef

Jiang W, Xie C, Zhuang M, Tang Y (2017b) Failure mode and effects analysis based on a novel fuzzy evidential method. Appl Soft Comput 57:672–683CrossRef

Jiang W, Wei B, Liu X, Li X, Zheng H (2018) Intuitionistic fuzzy power aggregation operator based on entropy and its application in decision making. Int J Intell Syst 33(1):49–67CrossRef

Kang B, Chhipi-Shrestha G, Deng Y, Hewage K, Sadiq R (2017) Stable strategies analysis based on the utility of Z-number in the evolutionary games. Appl Math Comput. https://doi.org/10.1016/j.amc.2017.12.006 MATHCrossRef

Liu HC, You JX, Fan XJ, Lin QL (2014) Failure mode and effects analysis using D numbers and grey relational projection method. Expert Syst Appl 41(10):4670–4679CrossRef

Liu T, Deng Y, Chan F (2017) Evidential supplier selection based on DEMATEL and game theory. Int J Fuzzy Syst. https://doi.org/10.1007/s40,815-017-0400-4 CrossRef

Liu, B., Hu, Y., Deng, Y.: New failure mode and effects analysis based on D numbers downscaling method. Int J Comput Commun Control 13(2) (2018, in press)

Nie S, Hu B, Li Y, Hu Z, Huang GH (2011) Identification of filter management strategy in fluid power systems under uncertainty: an interval-fuzzy parameter integer nonlinear programming method. Int J Syst Sci 42(3):429–448MathSciNetMATHCrossRef

Opricovic S, Tzeng GH (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156(2):445–455MATHCrossRef

Opricovic S, Tzeng GH (2007) Extended VIKOR method in comparison with outranking methods. Eur J Oper Res 178(2):514–529MATHCrossRef

Peldschus F, Zavadskas EK (2005) Fuzzy matrix games multi-criteria model for decision-making in engineering. Informatica 16(1):107–120MathSciNetMATH

Ribeiro RA (1996) Fuzzy multiple attribute decision making: a review and new preference elicitation techniques. Fuzzy Sets Syst 78(2):155–181MathSciNetMATHCrossRef

Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resources allocation. McGraw-Hill, Inc., New YorkMATH

Sayadi MK, Heydari M, Shahanaghi K (2009) Extension of VIKOR method for decision making problem with interval numbers. Appl Math Model 33(5):2257–2262MathSciNetMATHCrossRef

Shafer G (1976) A mathematical theory of evidence. Princeton University Press, Princeton

Tanino T (1984) Fuzzy preference orderings in group decision making. Fuzzy Sets Syst 12(12):117–131MathSciNetMATHCrossRef

Tsaur RC (2011) Decision risk analysis for an interval TOPSIS method. Appl Math Comput 218(8):4295–4304MathSciNetMATH

Wang Z, Bauch CT, Bhattacharyya S, d’Onofrio A, Manfredi P, Perc M, Perra N, Salathé M, Zhao D (2016) Statistical physics of vaccination. Phys Rep 664:1–113MathSciNetMATHCrossRef

Wang Z, Jusup M, Wang RW, Shi L, Iwasa Y, Moreno Y, Kurths J (2017) Onymity promotes cooperation in social dilemma experiments. Sci Adv 3(3):e1601444CrossRef

Wei GW (2008) Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting. Knowl Based Syst 21(8):833–836CrossRef

Xu Z (2007) A survey of preference relations. Int J Gen Syst 36(2):179–203MathSciNetMATHCrossRef

Xu H, Deng Y (2018) Dependent evidence combination based on Shearman coefficient and Pearson coefficient. IEEE Access. https://doi.org/10.1109/ACCESS.2017.2783320

Xu Z, Yager RR (2008) Dynamic intuitionistic fuzzy multi-attribute decision making. Int J Approx Reason 48(1):246–262MATHCrossRef

Xu S, Jiang W, Deng X, Shou Y (2018) A modified Physarum-inspired model for the user equilibrium traffic assignment problem. Appl Math Model 55:340–353MathSciNetCrossRef

Yager RR (1992) Decision making under Dempster–Shafer uncertainties. Int J Gen Syst 20(3):233–245MATHCrossRef

Yager RR (2014) An intuitionistic view of the Dempster–Shafer belief structure. Soft Comput 18(11):2091–2099MATHCrossRef

Yager RR, Liu L et al (2008) Classic works of the Dempster–Shafer theory of belief functions, vol 219. Springer, BerlinMATHCrossRef

Yang JB, Xu DL (2013) Evidential reasoning rule for evidence combination. Artif Intell 205:1–29MathSciNetMATHCrossRef

Yang M, Khan FI, Sadiq R, Amyotte P (2013) A rough set-based game theoretical approach for environmental decision-making: a case of offshore oil and gas operations. Process Saf Environ Prot 91(3):172–182CrossRef

Zhang R, Ashuri B, Deng Y (2017) A novel method for forecasting time series based on fuzzy logic and visibility graph. Adv Data Anal Classif 11(4):759–783MathSciNetMATHCrossRef

Zhang Q, Li M, Deng Y (2018) Measure the structure similarity of nodes in complex networks based on relative entropy. Phys A Stat Mech Its Appl 491:749–763MathSciNetCrossRef

Zheng H, Deng Y (2018a) Evaluation method based on fuzzy relations between Dempster-Shafer belief structure. Int J Intell Syst. https://doi.org/10.1002/int.21956 CrossRef

Zheng X, Deng Y (2018b) Dependence assessment in human reliability analysis based on evidence credibility decay model and IOWA operator. Ann Nucl Energy 112:673–684CrossRef

Zheng H, Deng Y, Hu Y (2017) Fuzzy evidential influence diagram and its evaluation algorithm. Knowl Based Syst 131:28–45CrossRef

Titel: D-AHP method with different credibility of information
verfasst von: Xinyang Deng
Yong Deng
Publikationsdatum: 29.12.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 2/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-017-2993-9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 2/2019

Exploiting the priority weights from interval linguistic fuzzy preference relations

A consensus-based method for group decision making with incomplete uncertain linguistic preference relations

Swarming movement of dynamical multi-agent systems with sampling control and time delays

An improved algorithm for sentiment analysis based on maximum entropy

Clustering-based Optimized HEED protocols for WSNs using bacterial foraging optimization and fuzzy logic system

An approach to neutrosophic graph theory with applications

Premium Partner