Evaluation about the Performance of E-Government Based on Interval-Valued Intuitionistic Fuzzy Set

The evaluation is an important approach to promote the development of the E-Government. Since the rapid development of E-Government in the world, the E-Government performance evaluation has become a hot issue in the academia. In this paper, we develop a new evaluation method for the development of the E-Government based on the interval-valued intuitionistic fuzzy set which is a powerful technique in expressing the uncertainty of the real situation. First, we extend the geometric Heronian mean (GHM) operator to interval-valued intuitionistic fuzzy environment and proposed the interval-valued intuitionistic fuzzy GHM (IIFGHM) operator. Then, we investigate the relationships between the IIFGHM operator and some existing ones, such as generalized interval-valued intuitionistic fuzzy HM (GIIFHM) and interval-valued intuitionistic fuzzy weighted Bonferoni mean operator. Furthermore, we validate the effectiveness of the proposed method using a real case about the E-Government evaluation in Hangzhou City, China.

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

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

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

[4]  Jie Yang,et al.  A Difference-Index Based Ranking Bilinear Programming Approach to Solving Bimatrix Games with Payoffs of Trapezoidal Intuitionistic Fuzzy Numbers , 2013, J. Appl. Math..

[5]  Zeshui Xu,et al.  Generalized aggregation operators for intuitionistic fuzzy sets , 2010 .

[6]  Dejian Yu,et al.  Interval-valued intuitionistic fuzzy Heronian mean operators and their application in multi-criteria decision making , 2012 .

[7]  Zeshui Xu,et al.  Dynamic intuitionistic fuzzy multi-attribute decision making , 2008, Int. J. Approx. Reason..

[8]  Deng-Feng Li,et al.  Alfa-cut based linear programming methodology for constrained matrix games with payoffs of trapezoidal fuzzy numbers , 2012, Fuzzy Optimization and Decision Making.

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

[10]  Yan Jia-hu.  Synthetic Evaluation about the Performance of E-Government Based On Neural Network , 2005 .

[11]  Weize Wang,et al.  The multi-attribute decision making method based on interval-valued intuitionistic fuzzy Einstein hybrid weighted geometric operator , 2013, Comput. Math. Appl..

[12]  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..

[13]  Matjaz Mulej,et al.  Multi-criteria decision-making in creative problem solving , 2013, Kybernetes.

[14]  Zeshui Xu,et al.  Clustering algorithm for intuitionistic fuzzy sets , 2008, Inf. Sci..

[15]  Zeshui Xu,et al.  Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group , 2009, Fuzzy Optim. Decis. Mak..

[16]  Ehsan Jafarian,et al.  A valuation-based method for ranking the intuitionistic fuzzy numbers , 2013, J. Intell. Fuzzy Syst..

[17]  Zhi-yong Bai,et al.  An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function , 2013, TheScientificWorldJournal.

[18]  G. Ledwich,et al.  Intuitionistic fuzzy Choquet integral operator-based approach for black-start decision-making , 2012 .

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

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

[21]  Qiang Zhang,et al.  The induced generalized interval-valued intuitionistic fuzzy hybrid Shapley averaging operator and its application in decision making , 2013, Knowl. Based Syst..

[22]  Z. Xu,et al.  Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making , 2007 .

[23]  Zeshui Xu,et al.  Choquet integrals of weighted intuitionistic fuzzy information , 2010, Inf. Sci..

[24]  Zeshui Xu,et al.  A multi-criteria decision making procedure based on interval-valued intuitionistic fuzzy bonferroni means , 2011 .

[25]  Zeshui Xu,et al.  Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators , 2011, Knowl. Based Syst..

[26]  Naim Çagman,et al.  Intuitionistic fuzzy soft set theory and its decision making , 2013, J. Intell. Fuzzy Syst..

[27]  Gleb Beliakov,et al.  Aggregation Functions: A Guide for Practitioners , 2007, Studies in Fuzziness and Soft Computing.

[28]  Deng-Feng Li,et al.  Mathematical programming methodology for multiattribute decision making using interval-valued intuitionistic fuzzy sets , 2013, J. Intell. Fuzzy Syst..

[29]  Lihong Li,et al.  Research on four kinds of uncertain preference information aggregation approach in group decision making , 2009, Kybernetes.

[30]  Weizhen Chen,et al.  Group decision making based on the LCLR method , 2010, Kybernetes.

[31]  Chunqiao Tan,et al.  Generalized intuitionistic fuzzy geometric aggregation operator and its application to multi-criteria group decision making , 2011, Soft Comput..

[32]  Peide Liu.  The multi-attribute group decision making method based on the interval grey linguistic variables weighted aggregation operator , 2013, J. Intell. Fuzzy Syst..

[33]  Shu-Ping Wan,et al.  Fuzzy linear programming approach to multiattribute decision making with multiple types of attribute values and incomplete weight information , 2013, Appl. Soft Comput..