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A FUZZY SETS MODEL FOR MEASURING THE EFFECTIVENESS OF PUBLIC PARTICIPATION IN WATER RESOURCES PLANNING 1
Author(s) -
Esogbue Augustine O.,
Ahipo Zikehi M.
Publication year - 1982
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1982.tb00011.x
Subject(s) - water resources , control (management) , scale (ratio) , set (abstract data type) , fuzzy logic , computer science , operations research , fuzzy set , sample (material) , pollution , environmental science , engineering , artificial intelligence , ecology , chemistry , physics , chromatography , quantum mechanics , biology , programming language
Mathematical modeling of complex water resources System problems, particularly water pollution control, is aided by fizzy set theory. Public participation in large scale federally funded water resources and pollution control projects is now a federal requirement and practice of various planning agencies. However, no systems based model for quantifying and measuring the effectiveness of public participation is known to exist. In this paper, we report a fuzzy set based model developed for doing this in areawide water resources planning The model is essentially cascade in nature and employs the concepts of fuzzy pessimistic and optimistic aggregations to cluster and analyze the evaluations of the basic factors. Sample computations of the model are provided.