A fuzzy linguistic approach generalizing Boolean Information Retrieval: A model and its evaluation

Bordogna, Gloria; Pasi, Gabriella

doi:10.1002/(sici)1097-4571(199303)44:2<70::aid-asi2>3.0.co;2-i

Cited by 249 publications

(122 citation statements)

References 38 publications

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“…When collecting details from the user's on-line activities some aspects are qualitative while others are quantitative. Fuzzy linguistic modelling has been widely used and has provided very good results, it deals with qualitative aspects that are presented in qualitative terms by means of linguistic variables [8], [9], [10], [1]. The 2-tuple Fuzzy Linguistic representation model provides the following advantages over classical models [1].…”

Section: Fuzzy Linguistic Modelingmentioning

confidence: 99%

Towards Universal Rating of Online Multimedia Content

Nderu

Jouandeau

Akdag

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Section: Fuzzy Linguistic Modelingmentioning

confidence: 99%

Towards Universal Rating of Online Multimedia Content

Nderu

Jouandeau

Akdag

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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“…Therefore, we can apply fuzzy membership function approach for transforming linguistic beliefs into numbers in interval scale. The applicability of such approach have become more and more clear for the users of important fields as such as information retrieval (Bordogna and Pasi [23], medical information gathering and retrieval (Degani and Bortolan [24], education (Law [25], suppliers selection (Herrera [18,19]), and decision making, in general.…”

Section: Fuzzy Sets and Arithmetic Operationsmentioning

confidence: 99%

Developing Fuzzy TOPSIS Method based on Interval-valued Fuzzy Sets

Mehrjerdi¹

2012

IJCA

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Ranking competing alternatives in terms of their overall performance with respect to some criterions in fuzzy environment is possible by the use of fuzzy TOPSIS methodology using interval-valued fuzzy-sets concepts. This author presents an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ideal solution points for prioritizing alternatives using inputs from a team of decision makers. The fuzzy sets concepts are used to evaluate the performance of alternatives and the importance of criteria. Fuzzy TOPSIS based on the interval-valued fuzzy-sets is fully described and a case study on RFID comprised of four main criteria and five alternatives is constructed and solved by the proposed extended TOPSIS method. The TOPSIS methodology used in this article is able to grasp the ambiguity exists in the utilized information and the fuzziness appears in the human judgments and preferences. TOPSIS technique can easily produce satisfactory results, and hence stimulates creativity and the invention for developing new methods and alternative approaches. This article is a very useful source of information for Fuzzy TOPSIS based on the interval-valued fuzzy sets and extends the area of application of RFID technology in general. Due to the fact that a better management of a system is related to the full understanding of the technologies implemented and the system under consideration, sufficient background on the methodologies are provided and a case study is developed and solved by the proposed method.

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“…Documents are then formally represented as probability distributions, which are used to calculate the probability that a document is relevant to the user. Retrieval models in which documents are represented as fuzzy sets have also been proposed [14,46]. Conceptually, fuzzy IR models are similar in spirit to the vector-space model, using the same formulas to weigh the importance of a term in a document.…”

Section: Relevance Modelsmentioning

confidence: 99%

Fuzzy Methods on the Web: A Critical Discussion

Schockaert

Makarytska

Cock

2010

35 Years of Fuzzy Set Theory

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Gradual concepts abound in many web-related domains, ranging from the notion of relevance in information retrieval, to the strength of connection in online social networks. As a result, fuzzy set theory is often a natural choice in implementing web systems. In this chapter, we give an overview of applications of fuzzy set theory in this area, focusing in particular on information retrieval, the semantic web, and recommender systems. In each case, we contrast fuzzy methods with other approaches, analyzing why and how the ideas of fuzzy set theory may be beneficial.

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A fuzzy linguistic approach generalizing Boolean Information Retrieval: A model and its evaluation

Cited by 249 publications

References 38 publications

Towards Universal Rating of Online Multimedia Content

Towards Universal Rating of Online Multimedia Content

Developing Fuzzy TOPSIS Method based on Interval-valued Fuzzy Sets

Fuzzy Methods on the Web: A Critical Discussion

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