Fuzzy Logic based Recommendation System: Crafts to Clients Suggestion

With the population explosion and the increasing number of different types of buildings and the variety of their related facilities, the need for rapid proper searching of craftsmen to make new installations and/or make some repairs is also increased. Usually, people seek close, reasonable wages, and professional craftsmen to make some repairs or installations. Searching for such craftsmen is not an easy task with the increase of population in countries as well as the lack of related and accurate information. In this work, we are suggesting a fuzzy logic-based recommendation system embedded within a web-based database application. The system enables clients (customers) to manually search for craftsmen as well as the ability of the system to suggest craftsmen to clients according to the professionalism of craftsmen and their closeness, all ranked in descending order. Since manual searching for craftsmen is also not an easy task, the recommendation system is able to suggest the most suitable craftsmen to clients according to their needs. The experimental tests at the end of the work emphasize the importance of using a recommendation system instead of the manual search of craftsmen by comparing the manual and the fuzzy-based craftsmen searching in terms of time and effort.