Complex systems analysis and environmental modeling

被引:15
作者
Nakamori, Y
Sawaragi, Y
机构
[1] Japan Adv Inst Sci & Technol, Grad Sch Knowledge Sci, Tatsunokuti, Ishikawa 9231292, Japan
[2] Japan Inst Syst Res, Kyoto 6068302, Japan
关键词
decision support systems; environment; modeling; simulation; fuzzy sets;
D O I
10.1016/S0377-2217(99)00227-1
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Most studies of complex systems take the way of comparing a developed artificial world in the computer with the real world and trying to explore the principles of the complex real world. But, this is not enough to understand complex phenomena and make decisions. This paper emphasizes a soft approach that uses both the logic and the educated intuition of people. Our methodology originates in Sawaragi's shinayakana systems approach that is based on Japanese intellectual tradition. This paper introduces our systems methodology together with our trial of applying it to the global environmental problems. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:178 / 189
页数:12
相关论文
共 50 条
[41]   Modeling Method for Complex Structure System in Finite Element Simulating Analysis [J].
Zhang Xueling ;
Hu Yahui ;
Chai Shufeng .
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 :195-+
[42]   Knowledge modeling for root cause analysis of complex systems based on dynamic fuzzy cognitive maps [J].
Yue, Weichao ;
Chen, Xiaofang ;
Huang, Keke ;
Zeng, Zhaohui ;
Xie, Yongfang .
IFAC PAPERSONLINE, 2018, 51 (21) :13-18
[43]   Application of ECSPN to RAMS Modeling and Analysis of Hybrid Drive Systems [J].
Nebel, Steffen ;
Dieter, Andrea ;
Mueller, Peter ;
Bertsche, Bernd .
ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2010 PROCEEDINGS, 2010,
[44]   Perspectives of Environmental Informatics and Systems Analysis [J].
Huang, G. H. ;
Chang, N. B. .
JOURNAL OF ENVIRONMENTAL INFORMATICS, 2003, 1 (01) :1-6
[45]   IMPLEMENTATION OF THE INDICATOR SYSTEM IN MODELING OF COMPLEX TECHNICAL SYSTEMS [J].
Leoshchenko, S. D. ;
Subbotin, S. A. ;
Oliinyk, A. O. ;
Narivs'kiy, O. E. .
RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 2021, (01) :117-126
[46]   An application of the theoretical group methods to modeling of complex systems [J].
Karnaukhov A.V. ;
Karnaukhova E.V. .
Biophysics, 2008, 53 (5) :427-432
[47]   Abductive reasoning in modeling biological phenomena as complex systems [J].
Engelschalt, Paul ;
Roeske, Maxime ;
Penzlin, Johanna ;
Krueger, Dirk ;
Belzen, Annette Upmeier zu .
FRONTIERS IN EDUCATION, 2023, 8
[48]   BACKPROPAGATION NEURAL NETWORKS FOR MODELING COMPLEX-SYSTEMS [J].
GOH, ATC .
ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1995, 9 (03) :143-151
[49]   Mathematical modeling of complex dynamic technical and economic systems [J].
Stakhiv, P ;
Franko, Y ;
Moskalyk, S .
MODERN PROBLEMS OF RADIO ENGINEERING, TELECOMMUNICATIONS AND COMPUTER SCIENCE, PROCEEDINGS, 2002, :106-107
[50]   Hybrid fuzzy-stochastic modeling approach for assessing environmental risks at contaminated groundwater systems [J].
Chen, Z ;
Huang, GH ;
Chakma, A .
JOURNAL OF ENVIRONMENTAL ENGINEERING, 2003, 129 (01) :79-88