User-Friendly Interface for Introducing Fuzzy Criteria into Expressive Searches

Abstract

We present a framework that allows any user (without the need of neither technical no theoretical knowledge) to define fuzzy criteria based on the non-fuzzy information stored in databases in an easy way. The interests for developing such a framework is to provide a human-oriented (fuzzy and nonfuzzy) search engine with a user-friendly interface to perform expressive and flexible searches over databases. We achieved this task by providing an intelligent interface for the users to define fuzzy criteria without having any knowledge about its low-level syntax or implementation details. Our framework allows users to pose different queries (combining crisp and fuzzy search criteria) over various conventional and modern data formats such as JSON, SQL, Prolog, CSV, XLS and XLSX. We believe our approach adds to the advancement for more intelligent and human-oriented fuzzy search engines.

Improvements of Data Management Through Fuzzy Logic

“…Chapter 4 is consists of the third part of the work, which corresponds to the first version of UFleSe (UFleSe V.1) [12]. This part is devoted to the expressive searches over multiple data formats.…”

“…• We have presented an interface for the definition of fuzzy concepts and fuzzy rule search criteria for advanced and expressive searches so that a regular user without knowledge about the low-level syntax of the framework can easily fuzzify a concept and can define a fuzzy rule searching criteria which includes one or more fuzzy predicates in its structure and calculates the results based on the satisfaction degrees those fuzzy predicates which it has in its structure while performing expressive, flexible searches like, searching for a good car depending on the worst value it has between being low mileage and being cheap, which means that a car must be low mileage and cheap at the same time to consider it a good car. The corresponded paper for this achievement has been published in the International Conference on Intelligent Systems and Applications [12].…”