Similarity and Compatibility in Fuzzy Set Theory

Cross, Valerie; Sudkamp, Thomas

doi:10.1007/978-3-7908-1793-5

Cited by 130 publications

(39 citation statements)

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“…In the Equation (22), cosine is the coefficient often used to determine the similarity between documents and it is based on the cosine of the angle between them [21].…”

Section: Algorithm 2 Based On Text Distance For Competence Evaluationmentioning

confidence: 99%

Rough Sets for Human Resource Competence Evaluation and Experiences

López¹,

Aguilar²,

Pupo³

et al. 2016

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The evaluation of labor competences is an important activity for proper management of human resources. To assess labor competences, different techniques have been proposed, but these proposals represent invasive mechanisms so that its implementation affects the efficiency of the project, and do not store the experiences for further processing. The aim of this paper is to propose two alternative algorithms to recover the evidences of performance of human resources by identifying their relationship with labor competences, using rough sets and text distance. The experimental application of the algorithms demonstrated efficiency levels in line with the human evaluators and efficiency improvement in the evaluation process, compared with methods like 360 degrees.

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“…In the Equation (22), cosine is the coefficient often used to determine the similarity between documents and it is based on the cosine of the angle between them [21].…”

Section: Algorithm 2 Based On Text Distance For Competence Evaluationmentioning

confidence: 99%

Rough Sets for Human Resource Competence Evaluation and Experiences

López¹,

Aguilar²,

Pupo³

et al. 2016

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“…The parametrized Tversky's functional is used in fuzzy set theory to estimate the degree of similarity of two sets [3]:…”

Section: Tversky's Functionalmentioning

confidence: 99%

The Fuzzy Parametrized Model for Classifying Blocks in the Non-binary Motion Mask

Matsypaev

Bronevich

2013

Lecture Notes in Computer Science

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“…These imprecisions are described with the use of the fuzzy set theory. Namely, based on the similarity and compatibility in the fuzzy set theory (Cross and Sudkamp, 2002) we can use some compatibility and aggregation operators.…”

Section: The Global Feature As a Spatial Object Locationmentioning

confidence: 99%

Fuzzy Oriented Graphical User Interface for Content-Based Image Retrieval System

Jaworska

2010

IFAC Proceedings Volumes

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Abstract:Computing with graphical objects techniques have proved useful in the management of imperfect graphical information. This paper presents graphical user interface (GUI) constructed for Content-Based Image Retrieval System (CBIR) in order to build a query by image. In our case, this image example is prepared individually by the user from the graphical objects offered by the GUI. The images are described based on a two-staged index and compared, applying compatibility and aggregation operators. We analyze the semantic imprecision and spatial or temporal relationships of graphical objects in the compared images using the fuzzy set theory.

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Similarity and Compatibility in Fuzzy Set Theory

Cited by 130 publications

References 0 publications

Rough Sets for Human Resource Competence Evaluation and Experiences

Rough Sets for Human Resource Competence Evaluation and Experiences

The Fuzzy Parametrized Model for Classifying Blocks in the Non-binary Motion Mask

Fuzzy Oriented Graphical User Interface for Content-Based Image Retrieval System

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