Effectiveness of Fuzzy Logic for Multi Criteria Spatial Modeling

Suhaida Aini

ISBN 10: 3659969958 / ISBN 13: 9783659969959

Edité par LAP LAMBERT Academic Publishing Nov 2016, 2016

A propos de cet article

Neuware -GIS and remote sensing are geospatial technologies that have been used for many years in environmental studies, including gathering and analysing of information on the physical parameters of wildlife habitats. This book focuses on research in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets in order to develop suitability habitat of Asian elephant in GIS environment. The utilization distribution enables identification of significant elephant habitat parameters and prioritization of its criterion. This book is intended for the wildlife management and GIS community especially in MCE approaches where the fuzzy logic model is a generation and not a replacement for the better-known conceptual set theory of Boolean logic. The fusion of fuzzy logic within the GIS environment provides comprehensive facilities in Weighted Linear Combination procedure and improves the reliability of MCE output particularly on suitability evaluation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

N° de réf. du vendeur 9783659969959

Détails bibliographiques

• Titre: Effectiveness of Fuzzy Logic for Multi Criteria Spatial Modeling
• Éditeur: LAP LAMBERT Academic Publishing Nov 2016
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3659969958
• ISBN à 13 chiffres: 9783659969959
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

GIS and remote sensing are geospatial technologies that have been used for many years in environmental studies, including gathering and analysing of information on the physical parameters of wildlife habitats. This book focuses on research in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets in order to develop suitability habitat of Asian elephant in GIS environment. The utilization distribution enables identification of significant elephant habitat parameters and prioritization of its criterion. This book is intended for the wildlife management and GIS community especially in MCE approaches where the fuzzy logic model is a generation and not a replacement for the better-known conceptual set theory of Boolean logic. The fusion of fuzzy logic within the GIS environment provides comprehensive facilities in Weighted Linear Combination procedure and improves the reliability of MCE output particularly on suitability evaluation.