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A new method for qualitative simulation of water resources systems: 1. Theory
Author(s) -
Camara A. S.,
Pinheiro M.,
Antunes M. P.,
Seixas M. J.
Publication year - 1987
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr023i011p02015
Subject(s) - simula , computer science , set (abstract data type) , fuzzy set , fuzzy logic , set theory , theoretical computer science , management science , artificial intelligence , engineering , programming language
A new dynamic modeling methodology, SLIN (Simulação Linguistica), allowing for the analysis of systems defined by linguistic variables, is presented. SLIN applies a set of logical rules avoiding fuzzy theoretic concepts. To make the transition from qualitative to quantitative modes, logical rules are used as well. Extensions of the methodology to simulation‐optimization applications and multiexpert system modeling are also discussed.