• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Ye, F.-F. (Ye, F.-F..) [1] | Yang, L.-H. (Yang, L.-H..) [2] | Wang, Y.-M. (Wang, Y.-M..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

In order to solve the problem of cost planning regarding environmental governance, the current solution is mainly based on the time series-based cost forecast methods, and neglects to consider the efficiency of environmental governance. Thus, a method of adaptive network-based fuzzy inference system (ANFIS) with efficiency preference is proposed for cost planning of environmental governance, whose basic idea is to consider the input-output relationship and efficiency in environmental governance by using the data envelopment analysis (DEA) undesired output model and ANFIS, respectively. In the case analysis, according to the environmental governance data of various provinces in China from 2003 to 2015, the performance analysis and comparison are carried out in terms of accuracy and effectiveness to compare with the conventional methods. The results show that the proposed method is effective and has better accuracy than those methods. © 2020, Editorial Office of Control and Decision. All right reserved.

Keyword:

ANFIS; Cost forecast; DEA; Environmental governance; Input-output efficiency; Input-output relationship

Community:

  • [ 1 ] [Ye, F.-F.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Yang, L.-H.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Wang, Y.-M.]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Wang, Y.-M.]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou UniversityChina

Show more details

Related Keywords:

Related Article:

Source :

Control and Decision

ISSN: 1001-0920

Year: 2020

Issue: 4

Volume: 35

Page: 993-1003

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:126/10078005
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1