A Hybrid Approach of Interval Neutrosophic Vague Sets and DEMATEL with New Linguistic Variable

Nowadays, real world problems are complicated because they deal with uncertainty and incomplete information. Obviously, such problems cannot be solved by a single technique because of the multiple perspectives that may arise. Currently, the combination of DEMATEL and the neutrosophic environment are still new and not fully explored. Previous studies of DEMATEL and this neutrosophic environment have been carried out based on numerical values to represent a new scale. Until now, little importance has been placed on the development of a linguistic variable for DEMATEL. It is important to develop a new linguistic variable to represent opinions based on human experience. Therefore, to fill this gap, the concept of Interval Neutrosophic Vague Sets (INVS) has been extended to the linguistic variable that can be used in the decision-making process. The INVS is useful tool to deal with uncertainty and incomplete information. Additionally, the advantages of the linguistic variable of INVS allows the greater range of value for membership functions. This study proposes a new framework for INVS and DEMATEL. In addition, a case study on the quality of hospital service has been evaluated to demonstrate the proposed approach. Finally, a comparative analysis to check the feasibility of the proposed method is presented. It demonstrates that different methods produce different relations and levels of importance. This is due to the inclusion of the INVS linguistic variable.

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

[2]  Francisco Herrera,et al.  A fusion approach for managing multi-granularity linguistic term sets in decision making , 2000, Fuzzy Sets Syst..

[3]  Luis Martínez-López,et al.  An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making , 2016, Int. J. Comput. Intell. Syst..

[4]  Shu-Ping Wan,et al.  Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment , 2017, Inf. Sci..

[5]  Witold Pedrycz,et al.  Multiobjective and multiattribute decision making in a fuzzy environment and their power engineering applications , 2016, Inf. Sci..

[6]  Florentin Smarandache,et al.  Complex neutrosophic set , 2016, Neural Computing and Applications.

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

[8]  Ru-Jen Lin.  Using fuzzy DEMATEL to evaluate the green supply chain management practices , 2013 .

[9]  Kuo-Chen Hung,et al.  Developing Tω fuzzy DEMATEL method for evaluating green supply chain management practices , 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[10]  Ravi Kant,et al.  Identifying critical success factors for green supply chain management implementation using fuzzy DEMATEL method , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[11]  Vu Dung,et al.  TOPSIS Approach Using Interval Neutrosophic Sets for Personnel Selection , 2018, Asian Journal of Scientific Research.

[12]  A. Haleem,et al.  Traceability implementation in food supply chain: A grey-DEMATEL approach , 2019, Information Processing in Agriculture.

[13]  Keith W. Hipel,et al.  Grey-based PROMETHEE II with application to evaluation of source water protection strategies , 2015, Inf. Sci..

[14]  Ramiro Concepción,et al.  An intuitionistic method for the selection of a risk management approach to information technology projects , 2017, Inf. Sci..

[15]  S. Ali,et al.  Modeling the interrelationships among barriers to sustainable supply chain management in leather industry , 2018 .

[16]  Zeshui Xu,et al.  Hesitant fuzzy linguistic entropy and cross-entropy measures and alternative queuing method for multiple criteria decision making , 2017, Inf. Sci..

[17]  Jiunn-I Shieh,et al.  A DEMATEL method in identifying key success factors of hospital service quality , 2010, Knowl. Based Syst..

[18]  Fatih Tüysüz,et al.  An Integrated Grey Based Multi-Criteria Decision Making Approach for the Evaluation of Renewable Energy Sources , 2016 .

[19]  Joseph Sarkis,et al.  A grey-based DEMATEL model for evaluating business process management critical success factors , 2013 .

[20]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[21]  Adil Baykasoglu,et al.  Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection , 2013, Expert Syst. Appl..

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

[23]  Arun Kumar Sangaiah,et al.  Neutrosophic AHP-Delphi Group decision making model based on trapezoidal neutrosophic numbers , 2017, J. Ambient Intell. Humaniz. Comput..

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

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

[26]  Ming-Lang Tseng,et al.  Application of fuzzy DEMATEL to develop a cause and effect model of municipal solid waste management in Metro Manila , 2009, Environmental monitoring and assessment.

[27]  Kannan Govindan,et al.  Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach , 2018 .

[28]  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..

[29]  Dragisa Stanujkic,et al.  An approach for hotel type selection based on the Single-Valued Intuitionistic Fuzzy Numbers , 2019, International Review.

[30]  Dong Wei,et al.  What are the key barriers for the further development of shale gas in China? A grey-DEMATEL approach , 2019, Energy Reports.

[31]  Zeshui Xu,et al.  Interval-valued hesitant preference relations and their applications to group decision making , 2013, Knowl. Based Syst..

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

[33]  Andrzej Kobryń,et al.  Dematel as a Weighting Method in Multi-Criteria Decision Analysis , 2017 .

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

[35]  Hing Kai Chan,et al.  Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL) , 2019, Journal of Business Research.

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

[37]  Doraid M. Dalalah,et al.  A fuzzy multi-criteria decision making model for supplier selection , 2011, Expert Syst. Appl..

[38]  Victor I. Chang,et al.  An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field , 2019, Comput. Ind..

[39]  Goran Ćirović,et al.  New multi-criteria LNN WASPAS model for evaluating the work of advisors in the transport of hazardous goods , 2019, Neural Computing and Applications.

[40]  Surapati Pramanik,et al.  TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment , 2014, Neural Computing and Applications.

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