Knowledge Agora

Title	A new smart citiy appraisal method based on conditional Shannon entropy and Rough Set Theory
ID_Doc	39090
Authors	Rui, C
Title	A new smart citiy appraisal method based on conditional Shannon entropy and Rough Set Theory
Year	2016
Published
Abstract	The traditional appraisal methods of smart city construction usually neglect the final construction goals of the smart city, which are: wholehearted service for the citizens; efficient city governance; freely share of the city data; sustainable economic development and safety and cleanness of the cyberspace. And the traditional appraisal method needs some priori knowledge, which will influence the objectivity of the appraisal outcome. In order to overcome the shortcomings in the traditional appraisal method, a novel "new smart city" appraisal method based on Shannon entropy and Rough Set Theory is proposed in this paper. A multi-factor "new smart city" appraisal index system is constructed and a new appraisal algorithm is proposed. An illustrative example includes 10 smart city construction schemes is given, the integrated "new smart city" appraisal index value of each city are calculated out based on the method proposed, which can be used as an useful guidance in the "new smart city" construction design and appraisal
PDF

ID	Score	Article
36540		Yong, X; Yan, C; Weiyao; Qiang, X A study on the construction of evaluative system of Smart City based on entropy-weighted matter-element model method(2019)Concurrency And Computation-Practice & Experience, 31, 9
45641		Yin, QY; Niu, K; Li, N Using CV-CRITIC to Determine Weights for Smart City Evaluation(2017)
36391		Gelmez, E; Özceylan, E Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology(2023)Foundations Of Computing And Decision Sciences, 48, 2
37896		Xu, JY; Song, R; Zhu, H Evaluation of Smart City Sustainable Development Prospects Based on Fuzzy Comprehensive Evaluation Method(2022)
36591		Ye, F; Chen, YY; Li, LX; Li, YA; Yin, Y Multi-criteria decision-making models for smart city ranking: Evidence from the Pearl River Delta region, China(2022)