Spherical fuzzy extension of DEMATEL (SF‐DEMATEL)

In recent years, many versions of fuzzy sets are introduced in the literature. Spherical fuzzy sets (SFSs) concept is one of these latest developments. An SFS is a synthesis of Pythagorean fuzzy set (PFS) and neutrosophic set for providing a larger preference domain for experts and allowing them to express their hesitancy more comprehensively. The distinctive feature of SFSs is that the squared sum of membership, nonmembership, and hesitancy degrees is between 0 and 1 while each degree should be independently defined in [0,1]. The application of SFS on decision‐making field may be about describing expert evaluations more informatively and explicitly. In this study, spherical fuzzy version of DEMATEL, one of the most cited multiple criteria decision‐making approach, is introduced for considering the hesitancy degrees of experts when they evaluate the potential influences among the criteria. Another contribution made is the fuzzification of all the steps in DEMATEL until the last ones since the existing propositions in literature perform early defuzzification operations. The defuzzification is here applied as close to the end as possible for keeping the whole process fuzzy. The applicability of the proposition is shown in an illustrative example of a building contractor evaluation problem, and its robustness is shown by comparing the results with PFS‐based and neutrosophic DEMATEL versions.

[1]  Duangpun Kritchanchai,et al.  DEMATEL-modified ANP to evaluate internal hospital supply chain performance , 2016, Comput. Ind. Eng..

[2]  Luis Martínez-López,et al.  Analysis of balanced scorecard-based SERVQUAL criteria based on hesitant decision-making approaches , 2019, Comput. Ind. Eng..

[3]  Fatma Kutlu Gündoğdu,et al.  Principals of Spherical Fuzzy Sets , 2019, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making.

[4]  Erkan Celik,et al.  A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers , 2015 .

[5]  Hasan Dinçer,et al.  IT2-based multidimensional evaluation approach to the signaling: investors’ priorities for the emerging industries , 2019, Soft Computing.

[6]  Galina Ilieva,et al.  Group Decision Analysis with Interval Type-2 Fuzzy Numbers , 2017, Cybernetics and Information Technologies.

[7]  Huchang Liao,et al.  An interval-valued intuitionistic fuzzy DEMATEL method combined with Choquet integral for sustainable solid waste management , 2019, Eng. Appl. Artif. Intell..

[8]  M. Gul Emergency department ergonomic design evaluation: A case study using fuzzy DEMATEL-focused two-stage methodology , 2019 .

[9]  Rajshekhar Sunderraman,et al.  Single Valued Neutrosophic Sets , 2010 .

[10]  Amin Vafadarnikjoo,et al.  Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain , 2015, Expert Syst. Appl..

[11]  Selcuk Cebi,et al.  Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making , 2019 .

[12]  Gülçin Büyüközkan,et al.  A new combined IF-DEMATEL and IF-ANP approach for CRM partner evaluation , 2017 .

[13]  Cengiz Kahraman,et al.  Extension of WASPAS with Spherical Fuzzy Sets , 2019, Informatica.

[14]  Manju Pandey,et al.  Assessment of Healthcare Waste Treatment Alternatives Using an Integrated Decision Support Framework , 2018, Int. J. Comput. Intell. Syst..

[15]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[16]  Hasan Dincer,et al.  IT2-Based Fuzzy Hybrid Decision Making Approach to Soft Computing , 2019, IEEE Access.

[17]  Adil Baykasolu,et al.  Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS , 2017, Expert Syst. Appl..

[18]  Lazim Abdullah,et al.  Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: An application to human resource management , 2015, Expert Syst. Appl..

[19]  Ahmad Termimi Ab Ghani,et al.  The Shapley weighting vector-based neutrosophic aggregation operator in DEMATEL method , 2018, Journal of Physics: Conference Series.

[20]  G. Büyüközkan,et al.  An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey , 2016 .

[21]  Serhat Yüksel,et al.  Balanced scorecard-based analysis of investment decisions for the renewable energy alternatives: A comparative analysis based on the hybrid fuzzy decision-making approach , 2019, Energy.

[22]  Mohamed Abdel-Basset,et al.  A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria , 2018, Des. Autom. Embed. Syst..

[23]  Cengiz Kahraman,et al.  Spherical fuzzy sets and spherical fuzzy TOPSIS method , 2019, J. Intell. Fuzzy Syst..

[24]  Cengiz Kahraman,et al.  A novel spherical fuzzy analytic hierarchy process and its renewable energy application , 2020, Soft Comput..

[25]  Wei-Wen Wu,et al.  Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method , 2012, Appl. Soft Comput..

[26]  Lazim Abdullah,et al.  A new DEMATEL method based on interval type-2 fuzzy sets for developing causal relationship of knowledge management criteria , 2019, Neural Computing and Applications.

[27]  Wei Yang,et al.  New Multiple Attribute Decision Making Method Based on DEMATEL and TOPSIS for Multi-Valued Interval Neutrosophic Sets , 2018, Symmetry.

[28]  Guanglong Dai,et al.  Risk Analysis of Gob Coal Spontaneous Combustion in Methane-Rich, Combustion-Prone Coal Seam Based on Intuitionistic Fuzzy DEMATEL , 2018, Journal of Failure Analysis and Prevention.

[29]  Ronald R. Yager,et al.  Pythagorean fuzzy subsets , 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

[30]  M. Tseng,et al.  Toward Sustainability : Using Big Data to Explore Decisive Attributes of Supply Chain Risks and Uncertainties , 2017 .

[31]  Zhiwen Liu,et al.  A framework integrating interval-valued hesitant fuzzy DEMATEL method to capture and evaluate co-creative value propositions for smart PSS , 2019, Journal of Cleaner Production.

[32]  Renata Korsakienė,et al.  IT2 Hybrid Decision-Making Approach to Performance Measurement of Internationalized Firms in the Baltic States , 2019, Sustainability.

[33]  S. Si,et al.  DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications , 2018 .

[34]  Erkan Celik,et al.  A cause and effect relationship model for location of temporary shelters in disaster operations management , 2017 .

[35]  Tsu-Ming Yeh,et al.  Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP , 2014 .

[36]  Feng Liu,et al.  A multicriteria model for the selection of the transport service provider: A single valued neutrosophic DEMATEL multicriteria model , 2018, Decision Making: Applications in Management and Engineering.

[37]  Gülçin Büyüközkan,et al.  A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers , 2012, Expert Syst. Appl..

[38]  Ali Karaşan,et al.  Location selection of electric vehicles charging stations by using a fuzzy MCDM method: a case study in Turkey , 2018, Neural Computing and Applications.

[39]  Rouzbeh Abbassi,et al.  Improved DEMATEL methodology for effective safety management decision-making , 2020 .

[40]  Erhan Bozdag,et al.  A new approach to DEMATEL based on interval-valued hesitant fuzzy sets , 2018, Appl. Soft Comput..

[41]  Florentin Smarandache Neutrosophic Logic - A Generalization of the Intuitionistic Fuzzy Logic , 2003, EUSFLAT Conf..

[42]  S. Meysam Mousavi,et al.  Criteria Assessment in Sustainable Macromanagement of Housing Provision Problem by a Multi-phase Decision Approach with DEMATEL and Dynamic Uncertainty , 2019, Arabian Journal for Science and Engineering.

[43]  Mohammad Jafar Tarokh,et al.  Type-2 fuzzy set extension of DEMATEL method combined with perceptual computing for decision making , 2013 .

[44]  Wei-Wen Wu,et al.  Developing global managers' competencies using the fuzzy DEMATEL method , 2007, Expert Syst. Appl..

[45]  Yunna Wu,et al.  Risk assessment of urban rooftop distributed PV in energy performance contracting (EPC) projects: An extended HFLTS-DEMATEL fuzzy synthetic evaluation analysis , 2019, Sustainable Cities and Society.

[46]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[47]  Slobodan Zecevic,et al.  A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection , 2014, Expert Syst. Appl..

[48]  Florentin Smarandache,et al.  A hybrid neutrosophic multiple criteria group decision making approach for project selection , 2019, Cognitive Systems Research.

[49]  Adil Baykasoglu,et al.  Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS , 2017, Expert Syst. Appl..

[50]  Vicenç Torra,et al.  On hesitant fuzzy sets and decision , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[51]  Takuma Imamura,et al.  Note on the definition of neutrosophic logic , 2018 .

[52]  Luis Martínez-López,et al.  Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL-ANP and MOORA methods , 2019, Appl. Soft Comput..

[53]  H. Di̇nçer,et al.  Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies , 2019, Sustainability.

[54]  AbdullahLazim,et al.  Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL , 2015 .

[55]  Jerry M. Mendel,et al.  Interval Type-2 Fuzzy Logic Systems Made Simple , 2006, IEEE Transactions on Fuzzy Systems.

[56]  Mamta Pandey,et al.  Identifying Causal Relationships in Mobile App Issues: An Interval Type-2 Fuzzy DEMATEL Approach , 2019, Wireless Personal Communications.

[57]  Rouzbeh Abbassi,et al.  A novel extension of DEMATEL approach for probabilistic safety analysis in process systems , 2020 .

[58]  Ching-Hsue Cheng,et al.  A risk assessment methodology using intuitionistic fuzzy set in FMEA , 2010, Int. J. Syst. Sci..

[59]  Dai Guanglong,et al.  Risk Analysis of Gob Coal Spontaneous Combustion in Methane-Rich, Combustion-Prone Coal Seam Based on Intuitionistic Fuzzy DEMATEL , 2018 .

[60]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[61]  Serhat Yüksel,et al.  Financial Analysis of International Energy Trade: A Strategic Outlook for EU-15 , 2019, Energies.

[62]  Mohammadsadegh Mobin,et al.  A HYBRID APPROACH OF INTUITIONISTIC FUZZY SET THEORY AND DEMATEL METHOD TO PRIORITIZE SELECTION CRITERIA OF BANK BRANCHES LOCATIONS , 2015 .

[63]  Gwo-Hshiung Tzeng,et al.  A VIKOR technique based on DEMATEL and ANP for information security risk control assessment , 2013, Inf. Sci..

[64]  H. Di̇nçer,et al.  Multidimensional evaluation of global investments on the renewable energy with the integrated fuzzy decision‐making model under the hesitancy , 2019, International Journal of Energy Research.

[65]  R. Ghodsi,et al.  Developing the resilient solar energy management system: a hybrid qualitative-quantitative approach , 2019, International Journal of Ambient Energy.

[66]  Sankaran Mahadevan,et al.  An evidential DEMATEL method to identify critical success factors in emergency management , 2014, Appl. Soft Comput..

[67]  H. Di̇nçer,et al.  Analyzing the Global Risks for the Financial Crisis after the Great Depression Using Comparative Hybrid Hesitant Fuzzy Decision-Making Models: Policy Recommendations for Sustainable Economic Growth , 2018, Sustainability.

[68]  Chia-Li Lin,et al.  DEMATEL-based model to improve the performance in a matrix organization , 2012, Expert Syst. Appl..

[69]  Hossein Sayyadi Tooranloo,et al.  Analyzing factors affecting implementation success of sustainable human resource management (SHRM) using a hybrid approach of FAHP and Type-2 fuzzy DEMATEL , 2017 .

[70]  Yanqing Zhang,et al.  Interval Neutrosophic Sets and Logic: Theory and Applications in Computing , 2005, ArXiv.

[71]  Hui Xie,et al.  Hesitant Fuzzy Linguistic Group DEMATEL Method with Multi-granular Evaluation Scales , 2018, Int. J. Fuzzy Syst..

[72]  Syed Waqar Haider,et al.  Identifying and bridging the attitude-behavior gap in sustainable transportation adoption , 2019, J. Ambient Intell. Humaniz. Comput..

[73]  S. Meysam Mousavi,et al.  Soft computing based on hierarchical evaluation approach and criteria interdependencies for energy decision-making problems: A case study , 2017 .

[74]  Lazim Abdullah,et al.  An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion , 2019, Symmetry.

[75]  Serhat Yüksel,et al.  An IT2-Based Hybrid Decision-Making Model Using Hesitant Fuzzy Linguistic Term Sets for Selecting the Development Plan of Financial Economics , 2019, Int. J. Comput. Intell. Syst..

[76]  Yunna Wu,et al.  Risk assessment in photovoltaic poverty alleviation projects in China under intuitionistic fuzzy environment , 2019, Journal of Cleaner Production.

[77]  Ahmad Makui,et al.  An IF-DEMATEL-AHP based on Triangular Intuitionistic Fuzzy Numbers (TIFNs) , 2015 .

[78]  Mohamed Abdel-Basset,et al.  Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems , 2018, Future Gener. Comput. Syst..

[79]  Cengiz Kahraman,et al.  A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets , 2019, Eng. Appl. Artif. Intell..

[80]  Jianqiang Wang,et al.  Evaluation of e-commerce websites: An integrated approach under a single-valued trapezoidal neutrosophic environment , 2017, Knowl. Based Syst..