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Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction
10 references·0 citing·39 second hop
Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction (2016)Rule-based back propagation neural networ…The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches (2015)The performance of corporate …Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree (2015)Detecting biotechnology indus…Developing a design support system for the exterior form of running shoes using partial least squares and neural networks (2013)Developing a design support s…Kansei clustering for emotional design using a combined design structure matrix (2012)Kansei clustering for emotion…Employing rough sets and association rule mining in KANSEI knowledge extraction (2012)Employing rough sets and asso…A preliminary study of perceptual matching for the evaluation of beverage bottle design (2012)A preliminary study of percep…A hybrid Kansei engineering design expert system based on grey system theory and support vector regression (2011)A hybrid Kansei engineering d…A rough set based decision support approach to improving consumer affective satisfaction in product design (2009)A rough set based decision su…Kansei engineering as a powerful consumer-oriented technology for product development (2002)Kansei engineering as a power…Kansei Engineering: A new ergonomic consumer-oriented technology for product development (1995)Kansei Engineering: A new erg…Earnings Management During Import Relief Investigations (1991)Detecting Earnings Management. (1995)Performance matched discretionary accrual measures (2005)Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques (2016)Predicting earnings management through machine learning ensemble classifiers (2022)Examining the ability of big data analytics to investigate financial reporting quality: a comprehensive bibliometric analysis (2024)The Measurement of Meaning (1957)A semantic differential study of designers’ and users’ product form perception (2000)Applying Kansei engineering to design logistics services – A case of home delivery service (2015)Valores Hedónicos-Emocionales y el Comportamiento de Compra: desde la percepción del consumidor de mezcal (2024)A Conceptual Framework for Apparel Design (1992)Using a multi-criteria decision making approach to evaluate mobile phone alternatives (2006)Product Innovation Design Based on Deep Learning and Kansei Engineering (2018)A quantitative aesthetic measurement method for product appearance design (2022)Affective Computing (1997)Affective design using machine learning: a survey and its prospect of conjoining big data (2018)Combining rough set theory and support vector regression to the sustainable form design of hybrid electric vehicle (2021)Introduction to Grey system theory (1989)The Voice of the Customer (1993)Emotional design method of product presented in multi-dimensional variables based on Kansei Engineering (2014)Optimization Design of a Webpage Based on Kansei Engineering (2015)Utilizing text mining and Kansei Engineering to support data-driven design automation at conceptual design stage (2018)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Aggregating multiple types of complex data in stock market prediction: A model-independent framework (2018)A novel purity-based k nearest neighbors imputation method and its application in financial distress prediction (2019)The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation (2020)Designing Qualitative Research (1996)Designing qualitative research, 3rd ed. (1999)Designing Qualitative Research (2007)A multi-objective genetic algorithm approach to rule mining for affective product design (2012)An analysis of customer room choice model and revenue management practices in the hotel industry (2012)Measuring consumer perceptions for a better comprehension, specification and assessment of product semantics (2004)User-oriented design for the optimal combination on product design (2004)Handbook of Technology and Innovation Management (2021)A Kansei evaluation approach based on the technique of computing with words (2015)Product innovation concept generation based on deep learning and Kansei engineering (2021)Multisensory design: Reaching out to touch the consumer (2011)
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References

  • 1995Kansei Engineering: A new ergonomic consumer-oriented technology for product development1,476 cited
  • 2002Kansei engineering as a powerful consumer-oriented technology for product development734 cited
  • 2011A hybrid Kansei engineering design expert system based on grey system theory and support vector regression128 cited
  • 2015The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches84 cited
  • 2012Kansei clustering for emotional design using a combined design structure matrix84 cited
  • 2012A preliminary study of perceptual matching for the evaluation of beverage bottle design81 cited
  • 2009A rough set based decision support approach to improving consumer affective satisfaction in product design81 cited
  • 2013Developing a design support system for the exterior form of running shoes using partial least squares and neural networks77 cited
  • 2012Employing rough sets and association rule mining in KANSEI knowledge extraction74 cited
  • 2015Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree40 cited

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