Fuzzy concepts applied in a fire insurance risk survey expert system

• Main Authors: Buenaventura, Francis, Chan, Emmanuel, Manas, Enrique, Pineda, George Tengco
• Format: text
• Language: English
• Published: Animo Repository 1992
• Subjects: Computer systems; Insurance, Fire > Risks; Expert systems (Computers)
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/7032
• Institution: De La Salle University

Fire insurance is an agreement where the insurer promises to pay the insured for direct losses or damage to the insured's property by fire. Before a particular property or risk is accepted through underwriting, which has something to do with the selection of subjects for insurance, the risk must first be inspected. This is the job of a risk surveyor. Fire risk surveying is the effective survey of the risk against physical loss or damage by fire to which life, assets and operations are exposed to. The risk surveying process is a tedious task. Experts in this field have expressed the need for a system to assist them in making fast decisions, and at same time, being accurate as well. Thus the need for an expert system. Expert systems nowadays use certainty factors in dealing with uncertainty, but such a method cannot handle everyday words like hot, cold, tall, or short. A new concept has been chosen to deal with these vague words, and this concept is the use of fuzzy sets.