City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

Sustainable development evaluation is the basis of city sustainable development research, and effective evaluation is the foundation for guiding the formulation and implementation of sustainable development strategy. In this paper, we provided a new city sustainable development evaluation method called hesitant multiplicative fuzzy TODIM (HMF-TODIM). The main advantage of this method is that it can deal with the subjective preference information of the decision-makers. The comparison study of existing methods and HMF-TODIM is also carried out. Additionally, real case analysis is presented to show the validity and superiority of the proposed method. Research results in this paper can provide useful information for the construction of sustainable cities.

[1]  Zeshui Xu,et al.  Dual Hesitant Fuzzy Sets , 2012, J. Appl. Math..

[2]  Dejian Yu,et al.  Intuitionistic fuzzy geometric Heronian mean aggregation operators , 2013, Appl. Soft Comput..

[3]  Dejian Yu.  Multi-Criteria Decision Making Based on Generalized Prioritized Aggregation Operators under Intuitionistic Fuzzy Environment , 2013 .

[4]  Zeshui Xu,et al.  Generalized asymmetric linguistic term set and its application to qualitative decision making involving risk appetites , 2016, Eur. J. Oper. Res..

[5]  Stefan Minner,et al.  Supplier selection under failure risk, quantity and business volume discounts , 2017, Comput. Ind. Eng..

[6]  Dejian Yu,et al.  Intuitionistic fuzzy theory based typhoon disaster evaluation in Zhejiang Province, China: a comparative perspective , 2015, Natural Hazards.

[7]  Zhong-Zhong Jiang,et al.  An extended TODIM method for hesitant fuzzy interactive multicriteria decision making based on generalized Choquet integral , 2015, J. Intell. Fuzzy Syst..

[8]  J. Roehrich,et al.  Driving green supply chain management performance through supplier selection and value internalisation: A self-determination theory perspective , 2017 .

[9]  George Q. Huang,et al.  Dual hesitant fuzzy aggregation operators , 2015 .

[10]  Yejun Xu,et al.  Group decision making under hesitant fuzzy environment with application to personnel evaluation , 2013, Knowl. Based Syst..

[11]  Yejun Xu,et al.  Group Decision Making in Information Systems Security Assessment Using Dual Hesitant Fuzzy Set , 2016, Int. J. Intell. Syst..

[12]  V. Torra,et al.  A framework for linguistic logic programming , 2010 .

[13]  Wei Zhou,et al.  Intuitionistic Fuzzy Geometric Bonferroni Means and Their Application in Multicriteria Decision Making , 2012, Int. J. Intell. Syst..

[14]  Deng-Feng Li,et al.  TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making With Interval-Valued Intuitionistic Fuzzy Sets , 2010, IEEE Transactions on Fuzzy Systems.

[15]  Zeshui Xu,et al.  Preference relations based on hesitant-intuitionistic fuzzy information and their application in group decision making , 2015, Comput. Ind. Eng..

[16]  José M. Merigó,et al.  DECISION MAKING WITH DISTANCE MEASURES AND INDUCED AGGREGATION OPERATORS , 2008 .

[17]  Dejian Yu,et al.  Intuitionistic fuzzy information aggregation under confidence levels , 2014, Appl. Soft Comput..

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

[19]  Witold Pedrycz,et al.  Information sciences 1968-2016: A retrospective analysis with text mining and bibliometric , 2017, Inf. Sci..

[20]  Zeshui Xu,et al.  Compatibility measures and consensus models for group decision making with intuitionistic multiplicative preference relations , 2013, Appl. Soft Comput..

[21]  Dejian Yu,et al.  Intuitionistic fuzzy multi-criteria decision making with application to job hunting: A comparative perspective , 2016, J. Intell. Fuzzy Syst..

[22]  Dejian Yu,et al.  Group Decision Making Under Interval‐Valued Multiplicative Intuitionistic Fuzzy Environment Based on Archimedean t‐Conorm and t‐Norm , 2015, Int. J. Intell. Syst..

[23]  Dejian Yu,et al.  Dual hesitant fuzzy multi-criteria decision making and its application to teaching quality assessment , 2014, J. Intell. Fuzzy Syst..

[24]  Huchang Liao,et al.  Visualization and quantitative research on intuitionistic fuzzy studies , 2016, J. Intell. Fuzzy Syst..

[25]  Dejian Yu,et al.  Prioritized Information Fusion Method for Triangular Intuitionistic Fuzzy Set and its Application to Teaching Quality Evaluation , 2013, Int. J. Intell. Syst..

[26]  Deng-Feng Li,et al.  Multiattribute decision making models and methods using intuitionistic fuzzy sets , 2005, J. Comput. Syst. Sci..

[27]  Dejian Yu,et al.  A scientometrics review on aggregation operator research , 2015, Scientometrics.

[28]  José M. Merigó,et al.  Exploring the Ordered Weighted Averaging Operator Knowledge Domain: A Bibliometric Analysis , 2017, Int. J. Intell. Syst..

[29]  Kejun Zhu,et al.  A quantitative integrated evaluation of sustainable development of mineral resources of a mining city: a case study of Huangshi, Eastern China , 2005 .

[30]  Zeshui Xu,et al.  Distance and similarity measures for hesitant fuzzy sets , 2011, Inf. Sci..

[31]  S. Iniyan,et al.  Applications of fuzzy logic in renewable energy systems – A review , 2015 .

[32]  Y. Qiu,et al.  The Synergy between City Human Resources and City Economy Development Based on the City Marketing: The Case of Chengdu , 2014 .

[33]  Dejian Yu,et al.  Group decision making based on generalized intuitionistic fuzzy prioritized geometric operator , 2012, Int. J. Intell. Syst..

[34]  Zeshui Xu,et al.  Preference Relations Based on Intuitionistic Multiplicative Information , 2013, IEEE Transactions on Fuzzy Systems.

[35]  Adnan Yazici,et al.  An energy aware fuzzy approach to unequal clustering in wireless sensor networks , 2013, Appl. Soft Comput..

[36]  Zeshui Xu,et al.  The Structure and Citation Landscape of IEEE Transactions on Fuzzy Systems (1994–2015) , 2018, IEEE Transactions on Fuzzy Systems.

[37]  Jian-Bo Yang,et al.  Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments , 2004, Inf. Sci..

[38]  Dejian Yu,et al.  Mapping development of linguistic decision making studies , 2016, J. Intell. Fuzzy Syst..

[39]  Asari,et al.  Fuzzy Clustering with a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images , 2015 .

[40]  Dejian Yu,et al.  Archimedean Aggregation Operators Based on Dual Hesitant Fuzzy Set and Their Application to GDM , 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[41]  Manouchehr Vaziri,et al.  Evaluation of sustainable policy in urban transportation using system dynamics and world cities data: A case study in Isfahan , 2015 .

[42]  Dejian Yu,et al.  Interval-valued intuitionistic fuzzy prioritized operators and their application in group decision making , 2012, Knowl. Based Syst..

[43]  Zeshui Xu,et al.  Managing hesitant Information in GDM Problems under fuzzy and Multiplicative Preference Relations , 2013, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[44]  Zeshui Xu,et al.  Expected hesitant VaR for tail decision making under probabilistic hesitant fuzzy environment , 2017, Appl. Soft Comput..

[45]  Zeshui Xu,et al.  The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment , 2014, Knowl. Based Syst..

[46]  Zhiming Zhang,et al.  Interval-valued Hesitant Multiplicative Preference Relations and Their Application to Multi-criteria Decision Making , 2014 .

[47]  Rodolfo Lourenzutti,et al.  A study of TODIM in a intuitionistic fuzzy and random environment , 2013, Expert Syst. Appl..

[48]  Renato A. Krohling,et al.  Interval-valued Intuitionistic Fuzzy TODIM , 2014, ITQM.

[49]  Zeshui Xu,et al.  Asymmetric hesitant fuzzy sigmoid preference relations in the analytic hierarchy process , 2016, Inf. Sci..

[50]  Dejian Yu,et al.  Researching the development of Atanassov intuitionistic fuzzy set: Using a citation network analysis , 2015, Appl. Soft Comput..

[51]  Dejian Yu,et al.  Softmax function based intuitionistic fuzzy multi-criteria decision making and applications , 2016, Oper. Res..

[52]  Dejian Yu.  Group Decision Making under Multiplicative Hesitant Fuzzy Environment , 2014 .

[53]  José M. Merigó,et al.  Dual hesitant fuzzy group decision making method and its application to supplier selection , 2015, International Journal of Machine Learning and Cybernetics.

[54]  Dan Wang,et al.  An integrated local climatic evaluation system for green sustainable eco-city construction: A case study in Shenzhen, China , 2017 .

[55]  Zeshui Xu,et al.  Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations , 2014, IEEE Transactions on Fuzzy Systems.

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

[57]  Witold Pedrycz,et al.  An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment , 2017, Eur. J. Oper. Res..

[58]  Dejian Yu,et al.  Intuitionistic multiplicative aggregation operators with their application in group decision making , 2014, J. Intell. Fuzzy Syst..

[59]  Himanshu Gupta,et al.  Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS , 2017 .

[60]  Chao Xu,et al.  Mapping research on carbon emissions trading: a co-citation analysis , 2017 .

[61]  Manish Pal,et al.  Development of the location suitability index for wave energy production by ANN and MCDM techniques , 2016 .

[62]  T. Tanino.  Fuzzy preference orderings in group decision making , 1984 .

[63]  Yuhui Zheng,et al.  Image segmentation by generalized hierarchical fuzzy C-means algorithm , 2015, J. Intell. Fuzzy Syst..

[64]  Luís Alberto Duncan Rangel,et al.  An application of the TODIM method to the multicriteria rental evaluation of residential properties , 2009, Eur. J. Oper. Res..

[65]  Zeshui Xu,et al.  Optimal discrete fitting aggregation approach with hesitant fuzzy information , 2015, Knowl. Based Syst..

[66]  Deng-Feng Li,et al.  A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems , 2010, Comput. Math. Appl..

[67]  Shuai Zhang,et al.  Some geometric Choquet aggregation operators using Einstein operations under intuitionistic fuzzy environment , 2014, J. Intell. Fuzzy Syst..

[68]  Dejian Yu.  Decision making based on generalized geometric operator under interval-valued intuitionistic fuzzy environment , 2013, J. Intell. Fuzzy Syst..

[69]  Zeshui Xu,et al.  Multiplicative Consistency of hesitant fuzzy Preference Relation and its Application in Group Decision Making , 2014, Int. J. Inf. Technol. Decis. Mak..

[70]  J. Merigó,et al.  The Induced Generalized OWA Operator , 2009, EUSFLAT Conf..

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

[72]  Kao-Yi Shen,et al.  Financial modeling and improvement planning for the life insurance industry by using a rough knowledge based hybrid MCDM model , 2017, Inf. Sci..

[73]  Dejian Yu,et al.  Multiattribute decision making based on intuitionistic fuzzy interaction average operators: a comparison , 2015, Int. Trans. Oper. Res..

[74]  Zeshui Xu,et al.  Some consistency measures of extended hesitant fuzzy linguistic preference relations , 2015, Inf. Sci..

[75]  Dejian Yu,et al.  Hesitant fuzzy multi-criteria decision making methods based on Heronian mean , 2015 .

[76]  Dejian Yu,et al.  Some Hesitant Fuzzy Information Aggregation Operators Based on Einstein Operational Laws , 2014, Int. J. Intell. Syst..

[77]  Dejian Yu,et al.  Some Generalized Dual Hesistant Fuzzy Geometric Aggregation Operators and Applications , 2014, Int. J. Uncertain. Fuzziness Knowl. Based Syst..