Emergency Alternative Selection Based on an E-IFWA Approach

With the increasing occurrence frequency of emergency events, how to select the most desirable alternative has been as one of the major issues in emergency management. In this paper, a new method incorporating an extension entropy, Best-Worst method and Intuitionistic fuzzy weighted averaging operator (E-IFWA) is proposed to manage emergency alternative selection. E-IFWA method uses intuitionistic fuzzy number (IFN) to represent incomplete information (fuzzy information and missing information), which can describe the preference of decision-makers more clearly due to its more options. Extension intuitionistic fuzzy entropy is proposed to determine objective weight, and the Best-Worst method (BWM) is adapted to determine subjective weight, hence the objective and subjective combined weight of decision-makers and criteria are considered in this paper. The experiments including a simple example and a case study compared with the existing method illustrate that E-IFWA method is effective and can get a more reasonable result in emergency management.

[1]  Yong Deng,et al.  Generalized Ordered Propositions Fusion Based on Belief Entropy , 2018, Int. J. Comput. Commun. Control.

[2]  Zhang-peng Tian,et al.  Green Supplier Selection Using Improved TOPSIS and Best-Worst Method Under Intuitionistic Fuzzy Environment , 2018, Informatica.

[3]  Zhen Li,et al.  A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method , 2019, Eng. Appl. Artif. Intell..

[4]  Kaihong Guo,et al.  Knowledge Measure for Atanassov's Intuitionistic Fuzzy Sets , 2016, IEEE Transactions on Fuzzy Systems.

[5]  Jie Wang,et al.  Research on Risk Evaluation of Enterprise Human Capital Investment With Interval-Valued Bipolar 2-Tuple Linguistic Information , 2018, IEEE Access.

[6]  Elizabeth Chang,et al.  An MCDM method for cloud service selection using a Markov chain and the best-worst method , 2018, Knowl. Based Syst..

[7]  Zeshui Xu,et al.  Score‐hesitation trade‐off and portfolio selection under intuitionistic fuzzy environment , 2018, Int. J. Intell. Syst..

[8]  Yong Deng,et al.  Toward uncertainty of weighted networks: An entropy-based model , 2018, Physica A: Statistical Mechanics and its Applications.

[9]  Yong Deng,et al.  A New MADA Methodology Based on D Numbers , 2018, Int. J. Fuzzy Syst..

[10]  Yong Deng,et al.  A hybrid intelligent model for assessment of critical success factors in high-risk emergency system , 2018, Journal of Ambient Intelligence and Humanized Computing.

[11]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[12]  Deng-Feng Li,et al.  A new definition and formula of entropy for intuitionistic fuzzy sets , 2016, J. Intell. Fuzzy Syst..

[13]  Diyar Akay,et al.  A biparametric similarity measure on intuitionistic fuzzy sets with applications to pattern recognition , 2014, Inf. Sci..

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

[15]  Yong Deng,et al.  An enhanced fuzzy evidential DEMATEL method with its application to identify critical success factors , 2018, Soft Computing.

[16]  G. G. Hegde,et al.  Evaluating Emergency Response Solutions for Sustainable Community Development by Using Fuzzy Multi-Criteria Group Decision Making Approaches: IVDHF-TOPSIS and IVDHF-VIKOR , 2016 .

[17]  Tao Tang,et al.  Applying Hybrid Decision-Making Method Based on Fuzzy AHP-WOWA Operator for Emergency Alternative Evaluation of Unattended Train Operation Metro System , 2016 .

[18]  Hu-Chen Liu,et al.  A Hybrid MCDM Approach for Large Group Green Supplier Selection With Uncertain Linguistic Information , 2018, IEEE Access.

[19]  Madhumangal Pal,et al.  Bipolar fuzzy Dombi aggregation operators and its application in multiple-attribute decision-making process , 2018, J. Ambient Intell. Humaniz. Comput..

[20]  Peide Liu,et al.  Some Intuitionistic Fuzzy Prioritized Interactive Einstein Choquet Operators and Their Application in Decision Making , 2018, IEEE Access.

[21]  Yong Deng,et al.  Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory , 2018, Advances in Mechanical Engineering.

[22]  Xinyang Deng,et al.  The Negation of a Basic Probability Assignment , 2019, IEEE Transactions on Fuzzy Systems.

[23]  J. Rezaei.  Best-worst multi-criteria decision-making method: Some properties and a linear model , 2016 .

[24]  Fuyuan Xiao,et al.  An Improved Method for Combining Conflicting Evidences Based on the Similarity Measure and Belief Function Entropy , 2018, Int. J. Fuzzy Syst..

[25]  Yanbing Ju,et al.  Emergency alternative evaluation under group decision makers: A method of incorporating DS/AHP with extended TOPSIS , 2012, Expert Syst. Appl..

[26]  Fanyong Meng,et al.  Linguistic intuitionistic fuzzy preference relations and their application to multi-criteria decision making , 2019, Inf. Fusion.

[27]  Zehong Cao,et al.  Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation , 2018, IEEE Transactions on Fuzzy Systems.

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

[29]  Peide Liu,et al.  Approach to Multi-Attributes Decision Making With Intuitionistic Linguistic Information Based on Dempster-Shafer Evidence Theory , 2018, IEEE Access.

[30]  Sherali Zeadally,et al.  Multiple Attributes Decision Fusion for Wireless Sensor Networks Based on Intuitionistic Fuzzy Set , 2017, IEEE Access.

[31]  Luis Martínez-López,et al.  R-numbers, a new risk modeling associated with fuzzy numbers and its application to decision making , 2019, Inf. Sci..

[32]  Hui Gao,et al.  Multiple Attribute Decision Making With Interval-Valued Bipolar Fuzzy Information and Their Application to Emerging Technology Commercialization Evaluation , 2018, IEEE Access.

[33]  Bingyi Kang,et al.  A Method of Measuring Uncertainty for Z-Number , 2019, IEEE Transactions on Fuzzy Systems.

[34]  Yong Deng,et al.  Generating Z‐number based on OWA weights using maximum entropy , 2018, Int. J. Intell. Syst..

[35]  Fuyuan Xiao,et al.  A novel multi-criteria decision making method for assessing health-care waste treatment technologies based on D numbers , 2018, Eng. Appl. Artif. Intell..

[36]  Lin Li,et al.  Group decision-making approach for evaluating the sustainability of constructed wetlands with probabilistic linguistic preference relations , 2019, J. Oper. Res. Soc..

[37]  Zhang-peng Tian,et al.  Pythagorean fuzzy multiple criteria decision analysis based on Shapley fuzzy measures and partitioned normalized weighted Bonferroni mean operator , 2018, Int. J. Intell. Syst..

[38]  Fuyuan Xiao,et al.  A Hybrid Fuzzy Soft Sets Decision Making Method in Medical Diagnosis , 2018, IEEE Access.

[39]  Yong Deng,et al.  A New Method to Identify Incomplete Frame of Discernment in Evidence Theory , 2019, IEEE Access.

[40]  Liguo Fei,et al.  A new divergence measure for basic probability assignment and its applications in extremely uncertain environments , 2017, Int. J. Intell. Syst..

[41]  Yong Deng,et al.  AN EVALUATION FOR SUSTAINABLE MOBILITY EXTENDED BY D NUMBERS , 2019, Technological and Economic Development of Economy.

[42]  Yanbing Ju,et al.  Emergency alternative evaluation and selection based on ANP, DEMATEL, and TL-TOPSIS , 2015, Natural Hazards.

[43]  Pavel V. Sevastjanov,et al.  An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect , 2010, Knowl. Based Syst..

[44]  Fuyuan Xiao,et al.  A Multiple-Criteria Decision-Making Method Based on D Numbers and Belief Entropy , 2019, International Journal of Fuzzy Systems.

[45]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[46]  Fuyuan Xiao,et al.  Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy , 2019, Inf. Fusion.

[47]  Yong Deng,et al.  A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function , 2018, Entropy.

[48]  Jian-qiang Wang,et al.  A Linguistic Neutrosophic Multi-criteria Group Decision-Making Approach with EDAS Method , 2018, Arabian Journal for Science and Engineering.

[49]  Wen Jiang,et al.  Intuitionistic Fuzzy Power Aggregation Operator Based on Entropy and Its Application in Decision Making , 2018, Int. J. Intell. Syst..

[50]  Wei Zheng,et al.  Hybrid Decision-making Method for Emergency Response System of Unattended Train Operation Metro , 2016 .

[51]  Shyi-Ming Chen,et al.  Group Decision Making Based on Heronian Aggregation Operators of Intuitionistic Fuzzy Numbers , 2017, IEEE Transactions on Cybernetics.

[52]  Wen Jiang,et al.  An Uncertainty Measure for Interval-valued Evidences , 2017, Int. J. Comput. Commun. Control.

[53]  Arthur P. Dempster,et al.  Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[54]  Jian-Qiang Wang,et al.  A Multicriteria Group Decision-Making Method Based on the Normal Cloud Model With Zadeh's Z -Numbers , 2018, IEEE Transactions on Fuzzy Systems.

[55]  Yafei Song,et al.  Credibility decay model in temporal evidence combination , 2015, Inf. Process. Lett..

[56]  Yong Deng,et al.  A new failure mode and effects analysis model using Dempster-Shafer evidence theory and grey relational projection method , 2018, Eng. Appl. Artif. Intell..

[57]  Xinyang Deng,et al.  A Modified Method for Evaluating Sustainable Transport Solutions Based on AHP and Dempster–Shafer Evidence Theory , 2018 .

[58]  Haiyan Zhao,et al.  An approach to emergency decision making based on decision-theoretic rough set over two universes , 2016, Soft Comput..

[59]  Nikhil R. Pal,et al.  Weighted Fuzzy Dempster–Shafer Framework for Multimodal Information Integration , 2018, IEEE Transactions on Fuzzy Systems.

[60]  Luis Martínez,et al.  A group decision method based on prospect theory for emergency situations , 2017, Inf. Sci..

[61]  Zhang-peng Tian,et al.  Risk evaluation by FMEA of supercritical water gasification system using multi-granular linguistic distribution assessment , 2018, Knowl. Based Syst..

[62]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[63]  Jeff Jones,et al.  Network Division Method Based on Cellular Growth and Physarum-inspired Network Adaptation , 2017, Int. J. Unconv. Comput..

[64]  Yong Deng,et al.  Combining conflicting evidence using the DEMATEL method , 2018, Soft Comput..

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

[66]  Yong Deng,et al.  DS-VIKOR: A New Multi-criteria Decision-Making Method for Supplier Selection , 2018, International Journal of Fuzzy Systems.

[67]  T. Drabek,et al.  Emergency management : principles and practice for local government , 1991 .

[68]  Mohd Dilshad Ansari,et al.  New Divergence and Entropy Measures for Intuitionistic Fuzzy Sets on Edge Detection , 2017, International Journal of Fuzzy Systems.

[69]  Peide Liu,et al.  Some Interval Neutrosophic Dombi Power Bonferroni Mean Operators and Their Application in Multi-Attribute Decision-Making , 2018, Symmetry.

[70]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

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

[72]  Harish Garg,et al.  Interval-Valued Pythagorean Fuzzy Maclaurin Symmetric Mean Operators in Multiple Attribute Decision Making , 2018, IEEE Access.

[73]  Yiyu Yao,et al.  Three-way decision and granular computing , 2018, Int. J. Approx. Reason..

[74]  Yong Deng,et al.  A new method to measure the divergence in evidential sensor data fusion , 2019, Int. J. Distributed Sens. Networks.

[75]  Yousef Al-Qudah,et al.  Complex Multi-Fuzzy Soft Set: Its Entropy and Similarity Measure , 2018, IEEE Access.

[76]  Wei Yang,et al.  New q‐rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making , 2018, Int. J. Intell. Syst..

[77]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[78]  Yafei Song,et al.  Uncertainty measure for interval-valued belief structures , 2016 .

[79]  Zeshui Xu,et al.  Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..