Type-2 interval fuzzy rule-based systems in spatial analysis

被引：10
作者：
Di Martino, Ferdinando [1 ]
Sessa, Salvatore [1 ,2 ]
机构：
[1] Univ Naples Federico II, Dipartimento Architettura, I-80134 Naples, Italy
[2] Univ Naples Federico II, Ctr Interdipartimentale Ric Anal & Progettaz Urba, I-80134 Naples, Italy
来源：
INFORMATION SCIENCES | 2014年 / 279卷
关键词：
Interval type-2 fuzzy set; IT2-FS rule-based system; GIS; Spatial analysis; LOGIC SYSTEMS; VULNERABILITY; GIS;
D O I：
10.1016/j.ins.2014.03.114
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present a rule-based system by using interval type-2 fuzzy sets (IT2-FS) for solving problems of spatial analysis. This system is encapsulated in a Geographical Information System (GIS) by performing numerous tests for evaluating their reliability. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码：199 / 212
页数：14
相关论文
共 42 条
[1]   Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information [J].
Benz, UC ;
Hofmann, P ;
Willhauck, G ;
Lingenfelder, I ;
Heynen, M .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2004, 58 (3-4) :239-258
[2]   Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review [J].
Castillo, Oscar ;
Melin, Patricia .
INFORMATION SCIENCES, 2012, 205 :1-19
[3]  
Castillo O, 2008, STUD FUZZ SOFT COMP, V223, P1
[4]   Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot [J].
Castillo, Oscar ;
Martinez-Marroquin, Ricardo ;
Melin, Patricia ;
Valdez, Fevrier ;
Soria, Jose .
INFORMATION SCIENCES, 2012, 192 :19-38
[5]   Evolutionary artificial neural networks for hydrological systems forecasting [J].
Chen, Yung-hsiang ;
Chang, Fi-John .
JOURNAL OF HYDROLOGY, 2009, 367 (1-2) :125-137
[6]   A spatial neural fuzzy network for estimating pan evaporation at ungauged sites [J].
Chung, C. -H. ;
Chiang, Y. -M. ;
Chang, F. -J. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2012, 16 (01) :255-266
[7]   A fuzzy-based tool for modelization and analysis of the vulnerability of aquifers: a case study [J].
Di Martino, F ;
Sessa, S ;
Loia, V .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2005, 38 (01) :99-111
[8]  
Di Martino F., 2005, FUZZY MODELING SPATI, P185, DOI DOI 10.1007/3-540-26886-3_9
[9]  
Di Martino F., 2012, ADV FUZZY SYST, P8
[10]  
Di Martino F., 2011, CONT ENG SCI, V4, P55
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