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Group Decision and Negotiation

Erschienen in:

05.11.2019

DSmT-Based Group DEMATEL Method with Reaching Consensus

verfasst von: Yuan-Wei Du, Wen Zhou

Erschienen in: Group Decision and Negotiation | Ausgabe 6/2019

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Abstract

The decision-making trial and evaluation laboratory (DEMATEL) method employs expert assessments expressed by crisp values to construct a group initial direct-relation (IDR) matrix. However, it tends to be a low-precision expression, especially in complex practical problems. Although significant efforts have been made to improve the DEMATEL method, these improvements tend to neglect individual characteristics and group consensus, resulting in unconvincing decision results. This study provides a Dezert–Smarandache theory-based group DEMATEL method with reaching consensus. In order to reasonably determine the group IDR matrix, basic belief assignment function is employed to extract expert assessments and the proportional conflict redistribution rule no.5 of DSmT is employed to make fusion to derive the temporary group IDR matrix. Moreover, the consensus measures at both expert level and pair-factors level are calculated to determine whether the acceptable consensus level has been reached or not. If the required consensus level is not reached, a feedback mechanism will be activated to help experts reach a consensus. A consensus group IDR matrix for the group DEMATEL can be obtained with the help of feedback mechanism, based on which an algorithm is summarized for the proposed method to identify major factors in a complex system. Finally, numerical comparison and discussion are introduced to verify the effectiveness and applicability of the proposed method and algorithm.

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Abdullah L, Zulkifli N, Liao H et al (2019) An interval-valued intuitionistic fuzzy DEMATEL method combined with Choquet integral for sustainable solid waste management. Eng Appl Artif Intell 82:207–215. https://doi.org/10.1016/j.engappai.2019.04.005 CrossRef

Acuña-Carvajal F, Pinto-Tarazona L, López-Ospina H et al (2019) An integrated method to plan, structure and validate a business strategy using fuzzy DEMATEL and the balanced scorecard. Expert Syst Appl 122:351–368. https://doi.org/10.1016/j.eswa.2019.01.030 CrossRef

Addae BA, Zhang L, Zhou P, Wang F (2019) Analyzing barriers of Smart Energy City in Accra with two-step fuzzy DEMATEL. Cities 89:218–227. https://doi.org/10.1016/j.cities.2019.01.043 CrossRef

Asan U, Kadaifci C, Bozdag E et al (2018) A new approach to DEMATEL based on interval-valued hesitant fuzzy sets. Appl Soft Comput J 66:34–49. https://doi.org/10.1016/j.asoc.2018.01.018 CrossRef

Balsara S, Jain PK, Ramesh A (2019) An integrated approach using AHP and DEMATEL for evaluating climate change mitigation strategies of the Indian cement manufacturing industry. Environ Pollut 252:863–878. https://doi.org/10.1016/j.envpol.2019.05.059 CrossRef

Baykasoğlu A, Gölcük İ (2017) Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Syst Appl 70:37–51. https://doi.org/10.1016/j.eswa.2016.11.001 CrossRef

Baykasoğlu A, Kaplanoglu V, Durmuşoglu ZDU, Şahin C (2013) Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Syst Appl 40:899–907. https://doi.org/10.1016/j.eswa.2012.05.046 CrossRef

Bhatia MS, Srivastava RK (2018) Analysis of external barriers to remanufacturing using grey-DEMATEL approach: an Indian perspective. Resour Conserv Recycl 136:79–87. https://doi.org/10.1016/j.resconrec.2018.03.021 CrossRef

Büyüközkan G, Çifçi G (2012) Evaluation of the green supply chain management practices: a fuzzy ANP approach. Prod Plan Control 23:405–418. https://doi.org/10.1080/09537287.2011.561814 CrossRef

Cabrerizo FJ, Al-Hmouz R, Morfeq A et al (2017) Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. Soft Comput 21:3037–3050. https://doi.org/10.1007/s00500-015-1989-6 CrossRef

Chen SJ, Hwang CL (1992) Fuzzy multiple attribute decision making: methods and applications. Springer, New York In collaboration with Frank P. Hwang CrossRef

Chen Z, Ming X, Zhang X et al (2019) A rough-fuzzy DEMATEL–ANP method for evaluating sustainable value requirement of product service system. J Clean Prod 228:485–508. https://doi.org/10.1016/j.jclepro.2019.04.145 CrossRef

Cheng CH, Lin Y (2002) Evaluating the best main battle tank using fuzzy decision theory. Eur J Oper Res 142:174–186. https://doi.org/10.1016/S0377-2217(01)00280-6 CrossRef

Cui L, Chan HK, Zhou Y et al (2019) Exploring critical factors of green business failure based on grey-decision making trial and evaluation laboratory (DEMATEL). J Bus Res 98:450–461. https://doi.org/10.1016/j.jbusres.2018.03.031 CrossRef

Denœux T, Kanjanatarakul O, Sriboonchitta S (2015) EK-NNclus: a clustering procedure based on the evidential K-nearest neighbor rule. Knowl Based Syst 88:57–69. https://doi.org/10.1016/j.knosys.2015.08.007 CrossRef

Dinçer H, Yüksel S, Martínez L (2019) Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL–ANP and MOORA methods. Appl Soft Comput J 79:186–202. https://doi.org/10.1016/j.asoc.2019.03.018 CrossRef

Du YW, Wang YM (2017) Evidence combination rule with contrary support in the evidential reasoning approach. Expert Syst Appl 88:193–204. https://doi.org/10.1016/j.eswa.2017.06.045 CrossRef

Du YW, Xu WM (2017) Multiattribute group decision making based on interval-valued intuitionistic fuzzy sets and analytically evidential reasoning methodology. J Intell Fuzzy Syst 33:2953–2960. https://doi.org/10.3233/JIFS-169346 CrossRef

Du YW, Zhou W (2019) New improved DEMATEL method based on both subjective experience and objective data. Eng Appl Artif Intell 83:57–71. https://doi.org/10.1016/j.engappai.2019.05.001 CrossRef

Du YW, Yang N, Zhou W, Li CX (2018a) A reliability-based consensus model for multiattribute group decision-making with analytically evidential reasoning approach. Math Probl Eng 2018:1–14. https://doi.org/10.1155/2018/1651857 CrossRef

Du YW, Wang YM, Qin M (2018b) New evidential reasoning rule with both weight and reliability for evidence combination. Comput Ind Eng 124:493–508. https://doi.org/10.1016/j.cie.2018.07.037 CrossRef

Du YW, Yang N, Ning J (2018c) IFS/ER-based large-scale multiattribute group decision-making method by considering expert knowledge structure. Knowl Based Syst 162:124–135. https://doi.org/10.1016/j.knosys.2018.07.034 CrossRef

Du YW, Wang SS, Wang YM (2019) Group fuzzy comprehensive evaluation method under ignorance. Expert Syst Appl 126:92–111. https://doi.org/10.1016/j.eswa.2019.02.006 CrossRef

Faux F, Luthon F (2012) Theory of evidence for face detection and tracking. Int J Approx Reason 53:728–746. https://doi.org/10.1016/j.ijar.2012.02.002 CrossRef

Fontela EG (1974) Structural analysis of the world problematique. Battelle-Genèva Research Centre

Gabus (1973) Communicating with those bearing collective responsibility. Battelle-Genèva Research Centre

Ghaemi Rad T, Sadeghi-Niaraki A, Abbasi A, Choi SM (2018) A methodological framework for assessment of ubiquitous cities using ANP and DEMATEL methods. Sustain Cities Soc 37:608–618. https://doi.org/10.1016/j.scs.2017.11.024 CrossRef

Gölcük I, Baykasoğlu A (2016) An analysis of DEMATEL approaches for criteria interaction handling within ANP. Expert Syst Appl 46:346–366. https://doi.org/10.1016/j.eswa.2015.10.041 CrossRef

Guo Q, He Y, Jian T et al (2016) An evidence clustering DSmT approximate reasoning method for more than two sources. Digit Signal Process A Rev J 56:79–92. https://doi.org/10.1016/j.dsp.2016.05.007 CrossRef

Herrera F, Herrera-Viedma E, Verdegay JL (1997) A rational consensus model in group decision making using linguistic assessments. Fuzzy Sets Syst 88:31–49CrossRef

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 15:863–877CrossRef

Huang S, Su X, Hu Y et al (2014) A new decision-making method by incomplete preferences based on evidence distance. Knowl Based Syst 56:264–272. https://doi.org/10.1016/j.knosys.2013.11.019 CrossRef

Kacprzyk J, Zadrożny S (2010) Soft computing and web intelligence for supporting consensus reaching. Soft Comput 14:833–846. https://doi.org/10.1007/s00500-009-0475-4 CrossRef

Lan S, Zhong RY (2016) An evaluation model for financial reporting supply chain using DEMATEL–ANP. Procedia CIRP 56:516–519. https://doi.org/10.1016/j.procir.2016.10.101 CrossRef

Lee HS, Tzeng GH, Yeih W et al (2013) Revised DEMATEL: resolving the infeasibility of DEMATEL. Appl Math Model 37:6746–6757. https://doi.org/10.1016/j.apm.2013.01.016 CrossRef

Li X, Dezert J, Smarandache F, Huang X (2011) Evidence supporting measure of similarity for reducing the complexity in information fusion. Inf Sci 181:1818–1835. https://doi.org/10.1016/j.ins.2010.10.025 CrossRef

Li W, Liang W, Zhang L, Tang Q (2015) Performance assessment system of health, safety and environment based on experts’ weights and fuzzy comprehensive evaluation. J Loss Prev Process Ind 35:95–103. https://doi.org/10.1016/j.jlp.2015.04.007 CrossRef

Lian C, Ruan S, Denœux T (2015) An evidential classifier based on feature selection and two-step classification strategy. Pattern Recognit 48:2318–2327. https://doi.org/10.1016/j.patcog.2015.01.019 CrossRef

Liang H, Ren J, Gao Z et al (2016) Identification of critical success factors for sustainable development of biofuel industry in China based on grey decision-making trial and evaluation laboratory (DEMATEL). J Clean Prod 131:500–508. https://doi.org/10.1016/j.jclepro.2016.04.151 CrossRef

Liu W (2006) Analyzing the degree of conflict among belief functions. Artif Intell 170:909–924. https://doi.org/10.1016/j.artint.2006.05.002 CrossRef

Liu ZG, Dezert J, Pan Q, Mercier G (2011) Combination of sources of evidence with different discounting factors based on a new dissimilarity measure. Decis Support Syst 52:133–141. https://doi.org/10.1016/j.dss.2011.06.002 CrossRef

Liu ZG, Dezert J, Mercier G, Pan Q (2012a) Dynamic evidential reasoning for change detection in remote sensing images. IEEE Trans Geosci Remote Sens 50:1955–1967. https://doi.org/10.1109/TGRS.2011.2169075 CrossRef

Liu ZG, Dezert J, Mercier G, Pan Q (2012b) Belief C-Means: an extension of Fuzzy C-Means algorithm in belief functions framework. Pattern Recognit Lett 33:291–300. https://doi.org/10.1016/j.patrec.2011.10.011 CrossRef

Liu ZG, Pan Q, Dezert J (2013) Evidential classifier for imprecise data based on belief functions. Knowl Based Syst 52:246–257. https://doi.org/10.1016/j.knosys.2013.08.005 CrossRef

Liu ZG, Pan Q, Dezert J, Mercier G (2015a) Credal c-means clustering method based on belief functions. Knowl Based Syst 74:119–132. https://doi.org/10.1016/j.knosys.2014.11.013 CrossRef

Liu ZG, Pan Q, Mercier G, Dezert J (2015b) A new incomplete pattern classification method based on evidential reasoning. IEEE Trans Cybern 45:635–646. https://doi.org/10.1109/TCYB.2014.2332037 CrossRef

Liu ZG, Pan Q, Dezert J, Martin A (2016) Adaptive imputation of missing values for incomplete pattern classification. Pattern Recognit 52:85–95. https://doi.org/10.1016/j.patcog.2015.10.001 CrossRef

Michnik J (2013) Weighted influence non-linear gauge system (WINGS)—an analysis method for the systems of interrelated components. Eur J Oper Res 228:536–544. https://doi.org/10.1016/j.ejor.2013.02.007 CrossRef

Pérez IJ, Cabrerizo FJ, Herrera-Viedma E (2011) Group decision making problems in a linguistic and dynamic context. Expert Syst Appl 38:1675–1688. https://doi.org/10.1016/j.eswa.2010.07.092 CrossRef

Pérez IJ, Cabrerizo FJ, Alonso S et al (2018) On dynamic consensus processes in group decision making problems. Inf Sci 459:20–35. https://doi.org/10.1016/j.ins.2018.05.017 CrossRef

Quezada LE, López-Ospina HA, Palominos PI, Oddershede AM (2018) Identifying causal relationships in strategy maps using ANP and DEMATEL. Comput Ind Eng 118:170–179. https://doi.org/10.1016/j.cie.2018.02.020 CrossRef

Ren J, Manzardo A, Toniolo S, Scipioni A (2013) Sustainability of hydrogen supply chain. Part I: identification of critical criteria and cause-effect analysis for enhancing the sustainability using DEMATEL. Int J Hydrog Energy 38:14159–14171. https://doi.org/10.1016/j.ijhydene.2013.08.126 CrossRef

Saaty TL (2003) Decision-making with the AHP: why is the principal eigenvector necessary. Eur J Oper Res 145:85–91. https://doi.org/10.1016/S0377-2217(02)00227-8 CrossRef

Saaty TL (2007) Time dependent decision-making; dynamic priorities in the AHP/ANP: generalizing from points to functions and from real to complex variables. Math Comput Model 46:860–891. https://doi.org/10.1016/j.mcm.2007.03.028 CrossRef

Sara J, Stikkelman RM, Herder PM (2015) Assessing relative importance and mutual influence of barriers for CCS deployment of the ROAD project using AHP and DEMATEL methods. Int J Greenh Gas Control 41:336–357. https://doi.org/10.1016/j.ijggc.2015.07.008 CrossRef

Shafer G (1996) A mathematical theory of evidence. Princeton University Press, Princeton

Shieh JI, Wu HH, Huang KK (2010) A DEMATEL method in identifying key success factors of hospital service quality. Knowl Based Syst 23:277–282. https://doi.org/10.1016/j.knosys.2010.01.013 CrossRef

Singh R, Vatsa M, Noore A (2008) Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition. Pattern Recognit 41:880–893. https://doi.org/10.1016/j.patcog.2007.06.022 CrossRef

Singhal D, Tripathy S, Kumar Jena S (2018) DEMATEL approach for analyzing the critical factors in remanufacturing process. Mater Today Proc 5:18568–18573. https://doi.org/10.1016/j.matpr.2018.06.200 CrossRef

Smarandache F, Dezert J (2004) Advances and applications of DSmT for information fusion. Elsevier, Amsterdam

Smarandache F, Dezert J (2006) Advances and applications of DSmT for information fusion. Elsevier, Amsterdam

Smarandache F, Dezert J (2009) Advances and applications of DSmT for information fusion. Elsevier, Amsterdam

Smarandache F, Dezert J, Tacnet J (2011) Fusion of sources of evidence with different importances and reliabilities. Inf Fusion. https://doi.org/10.1109/icif.2010.5712071 CrossRef

Smets P (2005) Decision making in the TBM: the necessity of the pignistic transformation. Int J Approx Reason 38:133–147. https://doi.org/10.1016/j.ijar.2004.05.003 CrossRef

Stebler N, Schuepbach-Regula G, Braam P, Falzon LC (2015) Use of a modified Delphi panel to identify and weight criteria for prioritization of zoonotic diseases in Switzerland. Prev Vet Med 121:165–169. https://doi.org/10.1016/j.prevetmed.2015.05.006 CrossRef

Wu WW, Lee YT (2007) Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Syst Appl 32:499–507. https://doi.org/10.1016/j.eswa.2005.12.005 CrossRef

Wu J, Chiclana F, Fujita H, Herrera-Viedma E (2017) A visual interaction consensus model for social network group decision making with trust propagation. Knowl Based Syst 122:39–50. https://doi.org/10.1016/j.knosys.2017.01.031 CrossRef

Xu J, Wu Z (2011) A discrete consensus support model for multiple attribute group decision making. Knowl Based Syst 24:1196–1202. https://doi.org/10.1016/j.knosys.2011.05.007 CrossRef

Yang FB, Wang XX (2010) Conflict evidence composition method of D-S evidence. National Defense Industry Press, Beijing

Titel: DSmT-Based Group DEMATEL Method with Reaching Consensus
verfasst von: Yuan-Wei Du
Wen Zhou
Publikationsdatum: 05.11.2019
Verlag: Springer Netherlands
Erschienen in: Group Decision and Negotiation / Ausgabe 6/2019
Print ISSN: 0926-2644
Elektronische ISSN: 1572-9907
DOI: https://doi.org/10.1007/s10726-019-09641-6

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