英文摘要
|
People's support is the crucial issue to the public policy. The understanding of public acceptance or rejection towards the policy, as well as the important attributes of concern, could be very helpful to implementing the policy. However, conventional attitude models can hardly approximate the subjective evaluation process exactly by virtue of the additivity and independency assumptions. Therefore, general fuzzy measures and fuzzy integrals, which require only the boundary conditions and monotonicity, are applied to develop the public attitude analysis model. An empirical study on the compress natural gas (CNG) taxi policy in Taipei City is conducted to show the applicability of this model. The empirical results indicate there are significant differences between the public concern and the governmental publicity, and some valuable strategies are suggested to the government.
|
参考文献
|
-
Chen, T.-Y.,Tzeng, G.-H.(2000).Reducing the Amount of Information Necessary to Compute Fuzzy Measures Used in Multiattribute Decision Making.Journal of Management,17,483-514.
-
Chen, T.-Y.,Wang, J.-C.,Tzeng, G.-H.(2000).Identification of General Fuzzy Measure by Genetic Algorithm Based on Partial Information.IEEE Transactions on Systems, Man, and Cybernetics: Part B,30,517-528.
-
Davis, L.(1991).Van Nostrand Reinhold.New York:
-
Denneberg, D.(1994).Non-Additive Measure and Integral.Kluwer, Boston.
-
Fishbein, M.(1963).An Investigation of the Relationships Between Beliefs About An Object and the Attitude Toward That Object.Human Relations,16,233-240.
-
Fishbein, M.,Ajzen, I.(1975).An Introduction to Theory and Research.Reading, MA:Addison-Wesley.
-
Goldberg, D. E.(1989).Optimization and Machine Learning.Reading, MA:Addison-Wesley.
-
Ishii, K.,Sugeno, M.(1985).A Model of Human Evaluation Process Using Fuzzy Measure.International Journal of Man-Machine Studies,22,19-38.
-
Klir, G. J.,Folger, T. A.(1988).Fuzzy Sets, Uncertainty, and Information.Prentice Hall:Englewood Cliffs, New Jersey.
-
Lee, K.-M.,Leekwang, H.(1995).Identification of λ-Fuzzy Measure by Genetic Algorithms.Fuzzy Sets and Systems,75,301-309.
-
Murofushi, T.,Sugeno, M.(1989).An Interpretation of Fuzzy Measures and the Choquet Integral As An Integral with Respect to A Fuzzy Measure.Fuzzy Sets and Systems,29,201-227.
-
Niehaus, F.,Swaton, E.(1981).Risk Assessment and Public Acceptance on Nuclear Power.Progetto Vese, Valutazione Effectti Ambientali e Socioeconomici dei Sistemi Energetici. ENEA, Rome.
-
Onisawa, T,Sugeno, M.,Nishiwaki, M.Y.,Kawai, H.,Harima, Y.(1986).Fuzzy Measure Analysis of Public Towards the Use of Nuclear Energy.Fuzzy Sets and Systems,20,259-289.
-
Pap, E.(1995).Null-Additive Set Functions.Kluwer, Boston.
-
Sugeno, M.(1974).Ph.D. Dissertation. Tokyo Institute of Technology.
-
Sugeno, M.,Kwon, S. H.(1995).A Clusterwise Regression-Type Model for Subjective Evaluation.Journal of Japan Society for Fuzzy Theory and Systems,7,291-310.
-
Swaton, E.,Renn, O.(1984).Attitude towards Nuclear Power: A Comparison between Three Countries
-
Wang, J.,Wang, Z.(1997).Using Neural Networks to Determine Sugeno Measures by Statistics.Neural Networks.
-
Wang, Z.,Klir, G. J.(1992).Fuzzy Measure Theory.New York:Plenum Press.
|