Ecological Applications of Fuzzy Logic

Heterogeneous and imprecise ecological data and vague expert knowledge can be integrated more effectively using fuzzy approach. Fuzzy logic provides the means to combine numerical data and linguistic statements and to process both of them in one simulation step. Fuzzy sets with no sharply defined boundaries reflect better the continuous character of nature. The number of applications of fuzzy sets and fuzzy logic in ecological modelling and data analysis is constantly growing.

[1]  R. Bassanezi,et al.  Fuzzy modelling in population dynamics , 2000 .

[2]  Stefano Marsili-Libelli,et al.  Fuzzy Clustering of Ecological Data , 1991 .

[3]  P. Burrough,et al.  FUZZY CLASSIFICATION METHODS FOR DETERMINING LAND SUITABILITY FROM SOIL PROFILE OBSERVATIONS AND TOPOGRAPHY , 1992 .

[4]  Mark E. Jensen,et al.  A guidebook for integrated ecological assessments , 2001 .

[5]  Bai-Lian Li,et al.  Fuzzy Statistical and Modeling Approach to Ecological Assessments , 2001 .

[6]  Valerie V. Cross,et al.  Fuzzy objects for geographical information systems , 2000, Fuzzy Sets Syst..

[7]  P. Diamond.  Fuzzy kriging , 1989 .

[8]  Lucien Duckstein,et al.  Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological and Engineering Systems , 1995 .

[9]  Weiyi Liu,et al.  The fuzzy association degree in semantic data models , 2001, Fuzzy Sets Syst..

[10]  A. Salski,et al.  Fuzzy knowledge-based models in ecological research , 1992 .

[11]  Hans W. Guesgen,et al.  Imprecise reasoning in geographic information systems , 2000, Fuzzy Sets Syst..

[12]  Trine A. Sogn,et al.  Application of the MAGIC model to lysimeters with cambic arenosol, Nordmoen, Norway , 1994 .

[13]  A. Salski,et al.  A fuzzy knowledge-based model of annual production of skylarks , 1996 .

[14]  R. A. MacMillan,et al.  A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic , 2000, Fuzzy Sets Syst..

[15]  M. Enea,et al.  Fuzzy approach to the environmental impact evaluation , 2001 .

[16]  Nikos E. Mastorakis,et al.  Advances in scientific computing, computational intelligence and applications , 2001 .

[17]  Florian Jeltsch,et al.  Analysis of the population dynamics of Acacia trees in the Negev desert, Israel with a spatially-explicit computer simulation model , 1999 .

[18]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[19]  Eric R. Ziegel,et al.  Geostatistics for the Next Century , 1994 .

[20]  Arkadiusz Salski.  Ecological Modeling and Data Analysis , 1999 .

[21]  Ralf Wieland,et al.  Species density of foliage-dwelling spiders in field margins: a simple, fuzzy rule-based model , 2000 .

[22]  A. Salski,et al.  A fuzzy knowledge-based model of population dynamics of the Yellow-necked mouse (Apodemus flavicollis) in a beech forest , 1998 .

[23]  Bernhard Freyer,et al.  Potential impact model to assess agricultural pressure to landscape ecological functions , 2000 .

[24]  C. Folke,et al.  Local Ecological Knowledge and Institutional Dynamics for Ecosystem Management: A Study of Lake Racken Watershed, Sweden , 2001, Ecosystems.

[25]  Marek Kacewicz.  “Fuzzy” Geostatistics - An Integration of Qualitative Description into Spatial Analysis , 1994 .

[26]  Suzana Dragicevic,et al.  An application of fuzzy logic reasoning for GIS temporal modeling of dynamic processes , 2000, Fuzzy Sets Syst..

[27]  Thomas Petzoldt,et al.  Hybrid expert system DELAQUA ― a toolkit for water quality control of lakes and reservoirs , 1994 .

[28]  Peter A. Burrough,et al.  High-resolution landform classification using fuzzy k-means , 2000, Fuzzy Sets Syst..

[29]  R. K. Lindquist,et al.  Fuzzy analysis for a greenhouse spider mite management system , 1996 .

[30]  A. Salski,et al.  Geostatistical regionalization of glacial aquitard thickness in northwestern Germany, based on fuzzy kriging , 1996 .

[31]  A-Xing Zhu,et al.  Automated soil inference under fuzzy logic , 1996 .

[32]  Hans-Jürgen Zimmermann,et al.  Practical Applications of Fuzzy Technologies , 1999 .

[33]  Glenn Shafer,et al.  Readings in Uncertain Reasoning , 1990 .

[34]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[35]  James C. Bezdek,et al.  A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[36]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[37]  W. Silvert.  Ecological impact classification with fuzzy sets , 1997 .

[38]  A. Bárdossy,et al.  Kriging with imprecise (fuzzy) variograms. I: Theory , 1990 .

[39]  Hsin-I Wu,et al.  A semi-arid grazing ecosystem simulation model with probabilistic and fuzzy parameters , 1996 .

[40]  William Silvert,et al.  Fuzzy indices of environmental conditions , 2000 .

[41]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[42]  A. Salski,et al.  Fuzzy clustering of existing chemicals according to their ecotoxicological properties , 1996 .

[43]  A. Bárdossy,et al.  Geostatistics utilizing imprecise (fuzzy) information , 1989 .