Constraint and Preference Modelling for Spatial Decision Making with Use of Possibility Theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33153208" target="_blank" >RIV/61989592:15310/14:33153208 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Constraint and Preference Modelling for Spatial Decision Making with Use of Possibility Theory
Original language description
Decision making support is one of the main objectives of geographical information systems. So far mainly boolean queries and boolean logic are used for spatial decision making problems. The study presents utilization of Possibility theory for modelling constraints and preferences for spatial data. The importance of aggregation operators in decision making is discussed as well. The case study involving a simple decision making problem is presented: selection of a waste disposal site based on three parameters - slope, distance from water and landuse. The results are presented and discussed. The main aim is focused on providing more information to the decision maker that will allow him to select the most suitable alternative.
Czech name
—
Czech description
—
Classification
Type
C - Chapter in a specialist book
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Hybrid artificial intelligence systems, HAIS 2014
ISBN
978-3-319-07617-1
Number of pages of the result
11
Pages from-to
145-155
Number of pages of the book
708
Publisher name
Springer
Place of publication
Heidelberg
UT code for WoS chapter
—