Open AccessRisk Assessment of Mined Areas using Fuzzy Inference
Author(s) -
Salem S. M. Khalifa,
Kamarudin Saadan,
Norita Md Norwawi
Publication year - 2015
Publication title -
international journal of artificial intelligence and applications
Language(s) - English
Resource type - Journals
eISSN - 0976-2191
pISSN - 0975-900X
DOI - 10.5121/ijaia.2015.6203
Subject(s) - computer science , unexploded ordnance , fuzzy logic , risk analysis (engineering) , process (computing) , fuzzy inference system , inference engine , inference , adaptive neuro fuzzy inference system , tracking system , computer security , artificial intelligence , fuzzy control system , business , remote sensing , kalman filter , geology , operating system
During the World War I ,II over fifty countries in the world today have been inherited a legacy of antipersonnel\udlandmines and unexploded ordnance (UXO) which represents a major threat to lives, and\udhinders reconstruction and development efforts. Landmines have specific properties that make it harder to\uddetect .Therefore; these properties lead landmine detectors to become more complex. Many examples can\udbe found to address the increasing complexity of Landmines detection; unfortunately, these new techniques\udare high of cost and need experts to deal with it. Many developing countries face financial difficulties to get\udadvanced technologies for detection landmines such as Robotic systems, this due to their high cost, use and\udmaintenance difficulties which makes them unaffordable to these countries. The safety of operators,\udtransportability, ease of maintenance and operation are the most factors that must take into consideration\udto improve the applicability and effectiveness of landmines tracking systems.The aim of the study is to\udproposed architecture of Intelligent Wireless Landmines Tracking System (IWLTS) with new decision\udmodel based on fuzzy logic.To find an affordable, light and easy to use alternative which meet users’ needs\udto protect and warn them from the risk of landmines during practice their lives, we suggested the design\udand development of Fuzzy Inference Model for IWLTS using Smart Phone.Fuzzy model require three step\udwhich are definitions of Linguistic Variable and fuzzy sets, determine fuzzy rules and the process of Fuzzy\udInference.Designed Fuzzy Inference Model gives both: Landmine risk value in percentage and alert to\udavoid that risk. \u