A Review on Information Accessing Systems Based on Fuzzy Linguistic Modelling

Abstract

This paper presents a survey of some fuzzy linguistic information access systems. The review shows information retrieval systems, filtering systems, recommender systems, and web quality evaluation tools, which are based on tools of fuzzy linguistic modelling. The fuzzy linguistic modelling allows us to represent and manage the subjectivity, vagueness and imprecision that is intrinsic and characteristic of the processes of information searching, and, in such a way, the developed systems allow users the access to quality information in a flexible and user-adapted way.

A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires

“…The fuzzy linguistic approach 13 is a tool intended for modeling qualitative information in a problem. It is based on the concept of linguistic variable and has been satisfactorily used in many domains, [17][18][19][20] including decision-making problems. [21][22][23] The main aim of establishing the linguistic descriptors of a linguistic variable is to supply the user with a few words by which s/he can naturally express her/his information.…”

“…13 It is a tool intended to model qualitative information that has been used successfully on many domains and problems. [14][15][16][17][18][19][20][21][22][23] This approach is based on the concept of linguistic variable. Briefly speaking, linguistic variables are variables whose values are not numbers, but words or sentences in a natural or artificial language.…”

Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems

“…This method not only failed to effectively distinguish the pros and cons of these two simulators in this regard, but also led to a series of bias in the calculation process due to inaccurate raw data. The method proposed in the present study and that developed by Chang et al [60] applied the 2-tuple fuzzy linguistic representation model; during the questionnaire collection process, comprehensive rating values can be obtained. The proposed method of this study obtained a rating of (s7, -0.5) and (s7, 0) for Simulators E and H, respectively, whereas Chang et al’s method [64] yielded a rating of (s7, -0.23) and (s7, 0), respectively.…”

“…Rao et al [53] used a fuzzy multi-attribute group decision making technique based on a 2-tuple linguistic model to rank and select alternative City Logistics Center locations. In summary, the aforementioned methods have been applied in studying group decision making [54–56], multi-criteria decision making [57], consensus reaching processes [58], construction [59], information retrieval [60], reliability assessment [61], network security [62], and aggregation operators [63]. …”

Some prioritized aggregating operators with linguistic information and their application to multiple attribute group decision making

“…Herrera-Viedma and Martínez [31] proposed a fuzzy linguistic methodology to deal with unbalanced linguistic term sets. Since its appearance, 2-tuple linguistic representation and computational model have been investigated by many researchers and applied to many fields [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46]. In the literature, many aggregation operators and approaches have been developed to solve the Group decision-making problems with linguistic information.…”