A new method for qualitative simulation of water resources systems: 1. Theory

1 November 1987

journal article
Published by American Geophysical Union (AGU) in Water Resources Research

Vol. 23 (11) , 2015-2018
https://doi.org/10.1029/wr023i011p02015

Abstract

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.

Keywords

LOW. THE DIFFERENCE BETWEEN THE OBJECTIVE AND THE SUBJECTIVE SCALE SITUATION
LEVEL OF INNOVATION
IN MANY INSTANCES EITHER THERE IS NO NEED FOR PRECISION OR IT IS IMPOSSI- BLE TO MEASURE SUCH VARIABLES
EDUCATION. IN THE LATTER CASE
BEAUTY
IS THAT IN THE FORMER
FLOW RATE
ONE MAY ESTABLISH A CORRESPONDENCE BETWEEN WHAT ON
MEDIUM
ALSO DEALT WITH ON A LINGUISTIC BASIS
AND-' THEY ARE TREATED AS LINGUIS- TIC VARIABLES WITH LINGUISTIC VALUES HIGH
LENGTH
WEIGHT OR NO OBJECTIVE SCALE I.E.
SYSTEM MODELING

This publication has 1 reference indexed in Scilit:

Machine Learning
Published by Springer Nature ,1983