A fuzzy cognitive map approach to support urban design

被引:63
|
作者
Xirogiannis, G
Stefanou, J
Glykas, M
机构
[1] Natl Tech Univ Athens, Lab Urban Design, GR-10682 Athens, Greece
[2] Univ Aegean, Dept Financial & Management Engn, Chios 82100, Greece
关键词
fuzzy cognitive maps; knowledge-based systems; urban design; decision support;
D O I
10.1016/S0957-4174(03)00140-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is concerned with proposing a fuzzy cognitive map (FCM) driven approach for implementing expert decision support in the area of urban design. Previous research activities modeled a knowledge-based system using first order predicate calculus. The current approach utilizes the inherent analogies between SLD resolution trees and FCMs and proposes the generation of multi-branch map hierarchies in order to model the disjointed conjuncts of the logic-based rules. This research proposes specific algorithms for interpreting the logic-based rules to FCMs as well as specific algorithms and formulas for calculating the values of multi-branch map hierarchies. Finally, this paper presents preliminary experiments and comments on the usefulness of the proposed methodology tool. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:257 / 268
页数:12
相关论文
共 50 条
  • [21] A Systems Approach to Project Stakeholder Management: Fuzzy Cognitive Map Modeling
    Sperry, Richard C.
    Jetter, Antonie J.
    [J]. PROJECT MANAGEMENT JOURNAL, 2019, 50 (06) : 699 - 715
  • [22] Yield prediction in apples using Fuzzy Cognitive Map learning approach
    Papageorgiou, E. I.
    Aggelopoulou, K. D.
    Gemtos, T. A.
    Nanos, G. D.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2013, 91 : 19 - 29
  • [23] ANALYZING SUPPLY CHAIN COLLABORATION USING FUZZY COGNITIVE MAP APPROACH
    Buyukozkan, Gulcin
    Feyzioglu, Orhan
    [J]. INTELLIGENT DECISION MAKING SYSTEMS, VOL. 2, 2010, : 273 - +
  • [24] Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach
    Vijay K Mago
    Hilary K Morden
    Charles Fritz
    Tiankuang Wu
    Sara Namazi
    Parastoo Geranmayeh
    Rakhi Chattopadhyay
    Vahid Dabbaghian
    [J]. BMC Medical Informatics and Decision Making, 13
  • [25] A LEARNING FUZZY COGNITIVE MAP (LFCM) APPROACH TO PREDICT STUDENT PERFORMANCE
    Mansouri, Taha
    ZareRavasan, Ahad
    Ashrafi, Amir
    [J]. JOURNAL OF INFORMATION TECHNOLOGY EDUCATION-RESEARCH, 2021, 20 : 221 - 243
  • [26] A fuzzy cognitive map approach to differential diagnosis of specific language impairment
    Georgopoulos, VC
    Malandraki, GA
    Stylios, CD
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2003, 29 (03) : 261 - 278
  • [27] Fuzzy cognitive map approach to web-mining inference amplification
    Lee, KC
    Kim, JS
    Chung, NH
    Kwon, SJ
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2002, 22 (03) : 197 - 211
  • [28] Fuzzy cognitive map based approach for determining the risk of ischemic stroke
    Khodadadi, Mahsa
    Shayanfar, Heidarali
    Maghooli, Keivan
    Hooshang Mazinan, Amir
    [J]. IET SYSTEMS BIOLOGY, 2019, 13 (06) : 297 - 304
  • [29] Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach
    Mago, Vijay K.
    Morden, Hilary K.
    Fritz, Charles
    Wu, Tiankuang
    Namazi, Sara
    Geranmayeh, Parastoo
    Chattopadhyay, Rakhi
    Dabbaghian, Vahid
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2013, 13
  • [30] A Fuzzy Cognitive Map and PESTEL-Based Approach to Mitigate CO2 Urban Mobility: The Case of Larissa, Greece
    Kokkinos, Konstantinos
    Nathanail, Eftihia
    [J]. SUSTAINABILITY, 2023, 15 (16)