A TODIM-PROMETHEE Ⅱ Based Multi-Criteria Group Decision Making Method for Risk Evaluation of Water Resource Carrying Capacity under Probabilistic Linguistic Z-Number Circumstances

With the development of the urbanization process, the demand for water resources has increased significantly, but the pollution of water resources has caused serious problems. These changes pose a potential threat to water resource carrying capacity in many regions. However, how to determine the areas of highest risk in water resource carrying capacity is an urgent problem which remains to be solved. Resounding to these circumstances, this study establishes a TODIM-PROMETHEE Ⅱ (An acronym in Portuguese for interactive and multiple attribute decision making- preference ranking organization method for enrichment evaluation Ⅱ) based decision support framework to address this issue for the regions of intensive governance, thereby providing support. In this framework, a novel theoretical concept, namely probabilistic linguistic Z-numbers, is proposed to describe group decision information. The related knowledge of probabilistic linguistic Z-numbers is developed, including a comparison method, distance, and operational rules. Subsequently, a case study involving the evaluation of water resource carrying capacity is conducted to demonstrate the feasibility of the decision support model, followed by sensitivity analysis, comparison analysis, and discussion. The findings demonstrate that the constructed framework demonstrates great performance to address this issue.

[1]  Jian-qiang Wang,et al.  New Framework for Quality Function Deployment Using Linguistic Z-Numbers , 2020, Mathematics.

[2]  Madjid Tavana,et al.  A hybrid fuzzy group ANP-TOPSIS framework for assessment of e-government readiness from a CiRM perspective , 2013, Inf. Manag..

[3]  Jian-qiang Wang,et al.  CIRCULAR ECONOMY MODEL FOR RECYCLING WASTE RESOURCES UNDER GOVERNMENT PARTICIPATION: A CASE STUDY IN INDUSTRIAL WASTE WATER CIRCULATION IN CHINA , 2019 .

[4]  T. Allahviranloo,et al.  The Parametric Form of Z‐Number and Its Application in Z‐Number Initial Value Problem , 2017, Int. J. Intell. Syst..

[5]  Mohammad Reza Shahraki,et al.  Evaluation of hotel websites using the multicriteria analysis of PROMETHEE and GAIA: Evidence from the five-star hotels of Mashhad , 2019, Tourism Management Perspectives.

[6]  Junfeng Yang,et al.  Space–time approach to water environment carrying capacity calculation , 2017 .

[7]  David S. G. Thomas,et al.  Governance of the irrigation commons under integrated water resources management – A comparative study in contemporary rural China , 2016 .

[8]  Huimin Liu Comprehensive carrying capacity of the urban agglomeration in the Yangtze River Delta, China , 2012 .

[9]  Zeshui Xu,et al.  Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment , 2004, Inf. Sci..

[10]  Juan-juan Peng,et al.  AN INTEGRATED PICTURE FUZZY ANP-TODIM MULTI-CRITERIA DECISION-MAKING APPROACH FOR TOURISM ATTRACTION RECOMMENDATION , 2019 .

[11]  Zeshui Xu An Interactive Approach to Multiple Attribute Group Decision Making with Multigranular Uncertain Linguistic Information , 2009 .

[12]  Li-Hua Feng,et al.  Application of system dynamics in analyzing the carrying capacity of water resources in Yiwu City, China , 2008, Math. Comput. Simul..

[13]  Jianqiang Wang,et al.  Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory , 2020 .

[14]  Milan Kankaraš,et al.  A Hybridized IT2FS-DEMATEL-AHP-TOPSIS Multi-Criteria Decision Making Approach: Case Study of Selection and Evaluation of Criteria for Determination of Air Traffic Control Radar Position , 2020 .

[15]  Hong-yu Zhang,et al.  Multi-criteria outranking method based on probability distribution with probabilistic linguistic information , 2020, Comput. Ind. Eng..

[16]  Zhang-peng Tian,et al.  Simplified Neutrosophic Linguistic Multi-criteria Group Decision-Making Approach to Green Product Development , 2017 .

[17]  Tofigh Allahviranloo,et al.  Z-Advanced numbers processes , 2019, Inf. Sci..

[18]  Samarjit Kar,et al.  An Approach to Rank Picture Fuzzy Numbers for Decision Making Problems , 2019, Decision Making: Applications in Management and Engineering.

[19]  Jianqiang Wang,et al.  A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China , 2020, Mathematics.

[20]  Jianqiang Wang,et al.  An Uncertain Linguistic Multi-criteria Group Decision-Making Method Based on a Cloud Model , 2014, Group Decision and Negotiation.

[21]  Jianqiang Wang,et al.  Multi-criteria PROMETHEE method based on possibility degree with Z-numbers under uncertain linguistic environment , 2020, J. Ambient Intell. Humaniz. Comput..

[22]  Alon Y. Levy,et al.  Water quality, ecological processes and management procedures in a periphyton biofiltration system in mariculture: A statistical analysis , 2018 .

[23]  A. Tversky,et al.  Advances in prospect theory: Cumulative representation of uncertainty , 1992 .

[24]  Xiaohong Chen,et al.  New doctors ranking system based on VIKOR method , 2018, Int. Trans. Oper. Res..

[25]  Decui Liang,et al.  Risk appetite dual hesitant fuzzy three-way decisions with TODIM , 2020, Inf. Sci..

[26]  Duško Tešić,et al.  Multicriteria Decision Making Model with Z-Numbers Based on FUCOM and MABAC model , 2020, Decision Making: Applications in Management and Engineering.

[27]  Hong-yu Zhang,et al.  Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems , 2014, Inf. Sci..

[28]  Qiang Fu,et al.  Analysis of the Spatial Variation and Identification of Factors Affecting the Water Resources Carrying Capacity Based on the Cloud Model , 2018, Water Resources Management.

[29]  Jiahang Yuan,et al.  Regional energy security performance evaluation in China using MTGS and SPA-TOPSIS. , 2019, The Science of the total environment.

[30]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[31]  Yongji Xue,et al.  Water resources carrying capacity of wetlands in Beijing: Analysis of policy optimization for urban wetland water resources management , 2017 .

[32]  Yunna Wu,et al.  A DEMATEL-TODIM based decision framework for PV power generation project in expressway service area under an intuitionistic fuzzy environment , 2020 .

[33]  Tran Thi Ngan,et al.  An Extended TOPSIS Method with Unknown Weight Information in Dynamic Neutrosophic Environment , 2020, Mathematics.

[34]  Zhang-peng Tian,et al.  A multihesitant fuzzy linguistic multicriteria decision-making approach for logistics outsourcing with incomplete weight information , 2018, Int. Trans. Oper. Res..

[35]  Ming-Yang Li,et al.  Extended TODIM method for multi-attribute risk decision making problems in emergency response , 2019, Comput. Ind. Eng..

[36]  Alistair G L Borthwick,et al.  Measurement and assessment of carrying capacity of the environment in Ningbo, China. , 2011, Journal of environmental management.

[37]  Zhang-peng Tian,et al.  Probabilistic linguistic multi-criteria decision-making based on evidential reasoning and combined ranking methods considering decision-makers’ psychological preferences , 2020, J. Oper. Res. Soc..

[38]  Le Wang,et al.  Picture fuzzy multi-criteria group decision-making method to hotel building energy efficiency retrofit project selection , 2020, RAIRO Oper. Res..

[39]  Renato A. Krohling,et al.  IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making , 2013, Knowl. Based Syst..

[40]  Wanli Shi,et al.  Quantitative evaluation and optimized utilization of water resources-water environment carrying capacity based on nature-based solutions , 2019, Journal of Hydrology.

[41]  Mehdi Mazaheri,et al.  Introducing a general framework for pollution source identification in surface water resources (theory and application). , 2019, Journal of environmental management.

[42]  Jianqiang Wang,et al.  TOURISM ENVIRONMENTAL IMPACT ASSESSMENT BASED ON IMPROVED AHP AND PICTURE FUZZY PROMETHEE II METHODS , 2019 .

[43]  Huayou Chen,et al.  A new computational model based on Archimedean copula for probabilistic unbalanced linguistic term set and its application to multiple attribute group decision making , 2020, Comput. Ind. Eng..

[44]  Hong-yu Zhang,et al.  Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers , 2017, Cognitive Computation.

[45]  Jing Wang,et al.  An extended TODIM approach with intuitionistic linguistic numbers , 2018, Int. Trans. Oper. Res..

[46]  Shouzhen Zeng,et al.  A Probabilistic Linguistic Multiple Attribute Decision Making Based on a New Correlation Coefficient Method and its Application in Hospital Assessment , 2020, Mathematics.

[47]  Kin Keung Lai,et al.  A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support , 2011, Decis. Support Syst..

[48]  Zeshui Xu,et al.  Multi-attribute group decision-making under probabilistic uncertain linguistic environment , 2018, J. Oper. Res. Soc..

[49]  Jianqiang Wang,et al.  Extended Z-MABAC Method Based on Regret Theory and Directed Distance for Regional Circular Economy Development Program Selection With Z-Information , 2020, IEEE Transactions on Fuzzy Systems.

[50]  Krzysztof Palczewski,et al.  Influence of various normalization methods in PROMETHEE II: an empirical study on the selection of the airport location , 2019, KES.

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

[52]  G. Coccia,et al.  Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions , 2018, Water Resources Research.

[53]  Zhang-peng Tian,et al.  Multicriteria decision-making approach based on gray linguistic weighted Bonferroni mean operator , 2018, Int. Trans. Oper. Res..

[54]  Lotfi A. Zadeh,et al.  A Note on Z-numbers , 2011, Inf. Sci..

[55]  Zeshui Xu,et al.  Probabilistic linguistic term sets in multi-attribute group decision making , 2016, Inf. Sci..

[56]  Jian-qiang Wang,et al.  Multi-criteria sorting decision making based on dominance and opposition relations with probabilistic linguistic information , 2020, Fuzzy Optim. Decis. Mak..

[57]  Sankar K. Pal,et al.  A computational model for the endogenous arousal of thoughts through Z*-numbers , 2017, Inf. Sci..

[58]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[59]  Zeshui Xu,et al.  Group decision making based on multiple types of linguistic preference relations , 2008, Inf. Sci..

[60]  Oscar Castillo,et al.  Finite-interval-valued Type-2 Gaussian fuzzy numbers applied to fuzzy TODIM in a healthcare problem , 2020, Eng. Appl. Artif. Intell..

[61]  Jinxi Song,et al.  Comprehensive evaluation and scenario simulation for the water resources carrying capacity in Xi'an city, China. , 2019, Journal of environmental management.

[62]  Jianping Yuan,et al.  Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: A case of China , 2016 .

[63]  Alessio Ishizaka,et al.  Selecting the best statistical distribution with PROMETHEE and GAIA , 2011, Comput. Ind. Eng..

[64]  Jianqiang Wang,et al.  Stochastic multicriteria decision-making approach based on SMAA-ELECTRE with extended gray numbers , 2019, Int. Trans. Oper. Res..

[65]  Xiaoyi Ma,et al.  Integrated modeling framework for evaluating and predicting the water resources carrying capacity in a continental river basin of Northwest China , 2018, Journal of Cleaner Production.

[66]  Juan-juan PENG,et al.  AN INTEGRATED MULTI-CRITERIA DECISION-MAKING FRAMEWORK FOR SUSTAINABLE SUPPLIER SELECTION UNDER PICTURE FUZZY ENVIRONMENT , 2020, Technological and Economic Development of Economy.

[67]  Harish Garg,et al.  A New Uncertainty Measure of Discrete Z-numbers , 2020, Int. J. Fuzzy Syst..