A FUZZY LINGUISTIC IRS MODEL BASED ON A 2-TUPLE FUZZY LINGUISTIC APPROACH
International Journal of Uncertainty Fuzziness and Knowledge-Based SystemsPublished 1 April 2007
Enrique Herrera‐Viedma, A.G. López‐Herrera, María Luque, Carlos Porcel
Citations74
SJR quartileQ3
SJR score0.32
SNIP0.58
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A new IRS model based on the 2-tuple fuzzy linguistic approach is presented, which allows to overcome the problems of ordinal fuzzy linguistic IRSs and improve their performance.
Abstract
Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of information and lack of precision when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods. In this paper, we present a new IRS model based on the 2-tuple fuzzy linguistic approach, which allows us to overcome the problems of ordinal fuzzy linguistic IRSs and improve their performance.
Keywords
Computer ScienceDecision Sciences
Information SciencesThe concept of a linguistic variable and its application to approximate reasoning-III
12,148 Citations1975L. A. Zadeh
Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
Information SciencesThe concept of a linguistic variable and its application to approximate reasoning—I
12,036 Citations1975Lotfi A. Zadeh
It is shown that probabilities, too, can be treated as linguistic variables with values such as likely, very likely, unlikely, etc.
IEEE Transactions on Systems Man and CyberneticsOn ordered weighted averaging aggregation operators in multicriteria decisionmaking
7,125 Citations1988Ronald R. Yager
A type of operator for aggregation called an ordered weighted aggregation (OWA) operator is introduced and its performance is found to be between those obtained using the AND operator and the OR operator.
IEEE Transactions on Fuzzy SystemsA 2-tuple fuzzy linguistic representation model for computing with words
2,634 Citations2000Luis Martı́nez, Francisco Herrera
This paper develops a computational technique for computing with words without any loss of information in the 2-tuple linguistic model and extends different classical aggregation operators to deal with this model.
Information SciencesThe concept of a linguistic variable and its application to approximate reasoning—II
2,509 Citations1975Lotfi A. Zadeh
The nonrestricted nonfuzzy variable u constitutes the base variable for X and R(X;u) is a fuzzy subset of U which represents a fuzzy restriction on the values of u imposed by X.
Elsevier eBooksOn Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking
1,060 Citations1993Ronald R. Yager
OmegaDeviation measures of linguistic preference relations in group decision making
742 Citations2004Zhigang Xu
A theoretic basis has been established for the application of linguistic preference relations in group decision making with the shown weighted combination of A1,A2,...,Am is linguistic preference relation.
Fuzzy Sets and SystemsDirect approach processes in group decision making using linguistic OWA operators
663 Citations1996Francisco Herrera, Enrique Herrera‐Viedma +1 more
A study is made of the properties and the axiomatic of LOWA operator, showing the rationality of its aggregation way and its use to solve group decision making problems from individuals linguistic preference relations.
International Journal of Intelligent SystemsOn aggregation operations of linguistic labels
485 Citations1993Miguel Delgado, José Luís Verdegay +1 more
This article is devoted to defining some aggregation operations between linguistic labels, paying special attention to the convex combination labels.
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and HumansAggregation operators for linguistic weighted information
430 Citations1997Francisco Herrera, Enrique Herrera‐Viedma
Three aggregation operators of weighted linguistic information are presented: linguistic weighted disjunction operator, linguistic weighted conjunction operator, and linguistic weighted averaging operator.
Machine intelligence and pattern recognitionSelecting Uncertainty Calculi and Granularity: An Experiment in Trading-Off Precision and Complexity
395 Citations1986Piero P. Bonissone, Keith Decker
The objective of this paper is to establish a theoretical basis for defining the syntax and semantics of a small subset of calculi of uncertainty operating on a given term set of linguistic statements of likelihood.
International Journal of Approximate ReasoningAn approach to ordinal decision making
325 Citations1995Ronald R. Yager
This work describes the problem of decision making under ignorance and discusses the need of introducing a decision attitude or disposition in solving this problem, and emphasizes the role of the OWA weighting vector as a means for introducing the decision maker's attitude.
Journal of the American Society for Information ScienceA fuzzy linguistic approach generalizing Boolean Information Retrieval: A model and its evaluation
285 Citations1993Gloria Bordogna, Gabriella Pasi
A fuzzy linguistic model is defined, starting from an existing weighted Boolean retrieval model, a linguistic extension, formalized within fuzzy set theory, in which numeric query weights are replaced by linguistic descriptors which specify the degree of importance of the terms.
Journal of the American Society for Information ScienceFuzzy requests: An approach to weighted boolean searches
186 Citations1980Abraham Bookstein
The problem of how to permit a patron to represent the relative importance of various index terms in a Boolean request while retaining the desirable properties of a Boolean system is concerned.
Journal of the American Society for Information Science and TechnologyEvaluating the information quality of Web sites: A methodology based on fuzzy computing with words
175 Citations2006Enrique Herrera‐Viedma, Gabriella Pasi +2 more
An evaluation methodology based on fuzzy computing with words aimed at measuring the information quality of Web sites containing documents is presented and two new majority guided linguistic aggregation operators are introduced, the Majority guided Linguistic Induced Ordered Weighted Averaging and weighted MLIOWA.
Information Processing & ManagementA mathematical model of a weighted boolean retrieval system
153 Citations1979W.G. Waller, Donald H. Kraft
Criteria are given for the functions used to evaluate the relevance of the records to a specific query, including self-consistency, as a generalization of a Boolean retrieval system.
Group Decision and NegotiationA linguistic decision process in group decision making
135 Citations1996Francisco Herrera, Enrique Herrera‐Viedma +1 more
International Journal of Intelligent SystemsLinguistic aggregation operators of selection criteria in fuzzy information retrieval
134 Citations1995Gloria Bordogna, Gabriella Pasi
A “softening” of the hard Boolean scheme for information retrieval is presented, in which linguistic quantifiers are defined which capture the intrinsic vagueness of information needs.
International Journal of Approximate ReasoningA model of fuzzy linguistic IRS based on multi-granular linguistic information
132 Citations2003Enrique Herrera‐Viedma, Óscar Cordón +3 more
An IRS based on fuzzy multi- granular linguistic information and a method to process the multi-granular linguisticInformation are proposed and the system accepts Boolean queries whose terms can be simultaneously weighted by means of ordinal linguistic values according to three semantics.
International Journal of Man-Machine StudiesFuzzy sets and generalized Boolean retrieval systems
130 Citations1983Donald H. Kraft, Duncan A. Buell
The generalized Boolean query model must be reconciled with the vector space approach, suggested new lattice structures for weighted retrieval, and probabilistic retrieval models, and proper retrieval evaluation mechanisms reflecting the fuzzy nature of retrieval are needed.
Information Processing & ManagementEvaluating the informative quality of documents in SGML format from judgements by means of fuzzy linguistic techniques based on computing with words
114 Citations2002Enrique Herrera‐Viedma, Eduardo Peis
A fuzzy evaluation method of Standard Generalized Markup Language documents based on computing with words is presented and using the fuzzy linguistic modeling the user-system interaction is facilitated and the assistance of system is improved.
Information Processing & ManagementInformation clustering based on fuzzy multisets
105 Citations2002Sadaaki Miyamoto
A fuzzy multiset model for information clustering is proposed with application to information retrieval on the World Wide Web, observing that a search engine retrieves multiple occurrences of the same subjects with possibly different degrees of relevance.
Fuzzy Sets and SystemsIncorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web
105 Citations2004Enrique Herrera‐Viedma, Francisco Herrera +3 more
A new fuzzy linguistic multi- agent model is described that incorporates two information filtering techniques in its structure: a content-based filtering agent and a collaborative filtering agent to increase the information filtering possibilities of multi-agent system on the Web and to improve its retrieval issues.
Journal of the American Society for Information ScienceA model for a weighted retrieval system
101 Citations1981Duncan A. Buell, Donald H. Kraft
This work looks at the weights from an entirely different approach involving thresholds, and generates an improved evaluation mechanism which seems to fulfill a larger subset of the desired criteria than previous mechanisms.
Information Processing & ManagementThreshold values and Boolean retrieval systems
99 Citations1981Duncan A. Buell, Donald H. Kraft
It is shown that the concept of threshold values resolves the problems inherent with relevance weights, and possible evaluation mechanisms for retrieval of documents, based on fuzzy-set-theoretic considerations are explored.
Journal of the American Society for Information Science and TechnologyModeling the retrieval process for an information retrieval system using an ordinal fuzzy linguistic approach
98 Citations2001Enrique Herrera‐Viedma
Information Processing & ManagementQuery term weights as constraints in fuzzy information retrieval
78 Citations1991Gloria Bordogna, Paola Carrara +1 more
By interpreting query term weights as constraints on document representations, this paper formally defines them in the fuzzy set theoretical context and shows how this formalization satisfies the wish-list clarified by Cater and Kraft.
Information Sciences - ApplicationsAn extended fuzzy linguistic approach to generalize boolean information retrieval
74 Citations1994Donald H. Kraft, Gloria Bordogna +1 more
A linguistic extension has been generated, starting from an existing Boolean weighted retrieval model and formalized within fuzzy set theory, in which numeric query weights are replaced by linguistic descriptors that specify the degree of importance of the terms.
International Journal of Intelligent SystemsAggregation of linguistic labels when semantics is based on antonyms
74 Citations2001Vicenç Torra
This work considers the semantics based on the existence of an antonym (or a set of them) for each element in the domain, equivalent to a semanticsbased on negation functions.
Political AnalysisFuzzy Decision Making in Politics: A Linguistic Fuzzy-Set Approach (LFSA)
72 Citations2004Badredine Arfi
A linguistic fuzzy-set approach (LFSA) to the process of decision making under conditions in which the decision makers are required to simultaneously satisfy multiple criteria is explicated.
International Journal of Uncertainty Fuzziness and Knowledge-Based SystemsAN INFORMATION RETRIEVAL MODEL WITH ORDINAL LINGUISTIC WEIGHTED QUERIES BASED ON TWO WEIGHTING ELEMENTS
69 Citations2001Enrique Herrera‐Viedma
An Information Retrieval model defined using an ordinal fuzzy linguistic approach that accepts ordinal linguistic weighted queries based on two weighting elements: the query terms and the query sub-expressions incorporating more flexibility in the user-IR system interaction.
Fuzzy Sets and SystemsBenchmarking in linguistic importance weighted aggregations
61 Citations2000Christer Carlsson, Robert C. Fuller
This work provides a possibilistic approach to the process of importance weighted transformation when both the importances and the ratings are given by symmetric triangular fuzzy numbers and shows that the weighted aggregate of fuzzy ratings remains stable under small changes in the nonfuzzy importances.
Information SciencesComputing with words for text processing: An approach to the text categorization
56 Citations2005Sławomir Zadrożny, Janusz Kacprzyk
The use of the computing with words paradigm for the automatic text documents categorization problem is discussed and results related to fuzzy (linguistic) queries in IR are employed, notably various interpretations of the weights of query terms.
Information Processing & ManagementA generalization and clarification of the waller-kraft wish list
42 Citations1989S. Cater, Donald H. Kraft
It is shown that there are certain ambiguities in the Waller-Kraft wish list as it currently exists, ambigUities caused by two distinct uses of the single phrase “query term weight.”
Information RetrievalA Hierarchical Document Retrieval Language
35 Citations2000Ronald R. Yager
A framework for evaluating documents is described which allows a linguistic specification of the interrelationship between the desired attributes and also supports a hierarchical structure which allows for an increased expressiveness of queries.
International Journal of Intelligent SystemsMedian-based aggregation operators for prototype construction in ordinal scales
32 Citations2003Josep Domingo‐Ferrer, Vicenç Torra
This study analyzes main aggregation operators for ordinal scales [plurality rule, medians, Sugeno integrals (SI), and ordinal weighted means (OWM), among others] and shows the difficulties and proposes two approaches to solve the drawbacks.
International Journal of Uncertainty Fuzziness and Knowledge-Based SystemsAN ORDINAL INFORMATION RETRIEVAL MODEL
29 Citations2001Gloria Bordogna, Gabriella Pasi
An ordinal Information Retrieval model is proposed, which is formalised within fuzzy set theory and is based on the notion of linguistic granules of information to represent and manage the importance of both the index terms as descriptors of the information items and the query terms as descriptor of users' needs.