Characterization of Fashion Themes Using Fuzzy Techniques for Designing New Human Centered Products

Zhu, Y.; Ruan, D.; Zeng, X.; Koehl, L.N.; Chaigneau, C.

doi:10.2991/ijcis.2010.3.4.5

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…Our future research includes: (1) consider other important uncertainty factors existing in WSNs, and integrate them into WebScore to effectively score pages; (2) improve the time efficiency of Web-Score by optimizing the PageRank algorithm or using the parallel computing approach 20 ; (3) improve the WebMiner system by developing other useful web mining and intelligent information processing approaches 21,22,23,24,25 .…”

Section: Discussionmentioning

confidence: 99%

WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks

Qiao¹,

Li²,

Chau³

et al. 2011

IJCIS

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To effectively score pages with uncertainty in web social networks, we first proposed a new concept called transition probability matrix and formally defined the uncertainty in web social networks. Second, we proposed a hybrid page scoring algorithm, called WebScore, based on the PageRank algorithm and three centrality measures including degree, betweenness, and closeness. Particularly, WebScore takes into a full consideration of the uncertainty of web social networks by computing the transition probability from one page to another. The basic idea of WebScore is to: (1) integrate uncertainty into PageRank in order to accurately rank pages, and (2) apply the centrality measures to calculate the importance of pages in web social networks. In order to verify the performance of WebScore, we developed a web social network analysis system which can partition web pages into distinct groups and score them in an effective fashion. Finally, we conducted extensive experiments on real data and the results show that WebScore is effective at scoring uncertain pages with less time deficiency than PageRank and centrality measures based page scoring algorithms.

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Section: Discussionmentioning

confidence: 99%

WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks

Qiao¹,

Li²,

Chau³

et al. 2011

IJCIS

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“…Some relevant references, such as music, images, videos, books, describing desired ambiances, can effectively play a communication role between these verbal expressions and real products. This principle has been widely used in marketing studies (Zhu et al , 2010). Therefore, in this experiment, a series of evaluations are performed so that the selected consumers of the target population select the most relevant images for their requirements.…”

Section: Experiments Designmentioning

confidence: 99%

“…We first aggregate these evaluation data provided by all the trainees and then analyze the divergence of these evaluators (Zhu et al , 2010).…”

Section: Mathematical Formalization and System Implementmentioning

confidence: 99%

Jeans knowledge base development based on sensory evaluation technology for customers’ personalized recommendation

Zhang

Zeng

Liu

et al. 2018

IJCST

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Purpose The purpose of this paper is to set up a women’s jeans knowledge base between consumer profile and jeans profile. The result of study could be applied to jeans recommendation system for a special consumer. Design/methodology/approach Women’s jeans are chosen as research objects. The sensory evaluation technology and intelligent data fusion methods are applied in this research. Findings Eight pairs of words were selected to set up normalized sensory evaluation criteria in the study for describing both consumers’ expectations and products. The relation between consumer profile and jeans profile could be quantified according to the principle of sensory evaluation technology. Practical implications Four experiments are designed for setting up this knowledge base by sensory evaluation technology, and set up the women’s jeans knowledge base by intelligent data fusion methods. Originality/value The theory of sensory evaluation technology is applied for building women’s jeans knowledge base that can be used for consumer-oriented intelligent garment recommendation system.

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“…Selection of relevant features is an important topic which has attracted many researchers for reducing the search space and the complexity of the problem to be processed 7,9 . Indeed, relevant variables selection has been widely applied to pattern recognition, system modeling and data mining.…”

Section: Introductionmentioning

confidence: 99%

Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators

Feki¹,

Feng²,

Ghith³

et al. 2016

IJCIS

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The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators' perception at different levels and selecting the most important ones for quality characterization. The main contribution of the paper is combining of fuzzy method and ordered weighted averaging (OWA) operators to achieve our aim. The proposed selection method, considered as a Multi-Evaluators and Multi-Criteria Decision Making (ME-MCDM) technique, has been developed using fuzzy sensitivity (FS) criterion for ranking and OWA operator to aggregate the aforementioned ranking lists. Finally, by introducing a smart percolation technique we get automatically the most relevant physical features for a given sensory descriptor. The suggested approach is applied to a selection problem of textile physical features.

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Characterization of Fashion Themes Using Fuzzy Techniques for Designing New Human Centered Products

Cited by 3 publications

References 10 publications

WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks

WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks

Jeans knowledge base development based on sensory evaluation technology for customers’ personalized recommendation

Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators

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