{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T23:46:47Z","timestamp":1768348007756,"version":"3.49.0"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2016,11,17]],"date-time":"2016-11-17T00:00:00Z","timestamp":1479340800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LY17F030014"],"award-info":[{"award-number":["LY17F030014"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s00521-016-2707-8","type":"journal-article","created":{"date-parts":[[2016,11,17]],"date-time":"2016-11-17T12:36:47Z","timestamp":1479386207000},"page":"613-630","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction"],"prefix":"10.1007","volume":"28","author":[{"given":"Zairan","family":"Li","sequence":"first","affiliation":[]},{"given":"Kai","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Nilanjan","family":"Dey","sequence":"additional","affiliation":[]},{"given":"Amira S.","family":"Ashour","sequence":"additional","affiliation":[]},{"given":"Dan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Valentina E.","family":"Balas","sequence":"additional","affiliation":[]},{"given":"Pamela","family":"McCauley","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4245-5727","authenticated-orcid":false,"given":"Fuqian","family":"Shi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,17]]},"reference":[{"key":"2707_CR1","doi-asserted-by":"crossref","unstructured":"Baek S, Hwang M, Chung H, Kim P (2008) Kansei factor space classified by information for kansei image modeling. Appl Math Comput 205:874\u2013882. Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation","DOI":"10.1016\/j.amc.2008.05.080"},{"key":"2707_CR2","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1007\/BF02523850","volume":"34","author":"J Barton","year":"1996","unstructured":"Barton J, Lees A (1996) Comparison of shoe insole materials by neural network analysis. Med Biol Eng Comput 34:453\u2013459","journal-title":"Med Biol Eng Comput"},{"key":"2707_CR3","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.compbiomed.2016.02.010","volume":"73","author":"B Robson","year":"2016","unstructured":"Robson B, Boray S (2016) Data-mining to build a knowledge representation store for clinical decision support. Studies on curation and validation based on machine performance in multiple choice medical licensing examinations. Comput Biol Med 73:71\u201393","journal-title":"Comput Biol Med"},{"key":"2707_CR4","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/s00521-013-1343-9","volume":"22","author":"BN Keshavamurthy","year":"2013","unstructured":"Keshavamurthy BN, Khan AM, Toshniwal D (2013) Privacy preserving association rule mining over distributed databases using genetic algorithm. Neural Comput Appl 22:351\u2013364","journal-title":"Neural Comput Appl"},{"key":"2707_CR5","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.ijepes.2016.03.020","volume":"82","author":"CB Khadse","year":"2016","unstructured":"Khadse CB, Chaudhari MA, Borghate VB (2016) Conjugate gradient back-propagation based artificial neural network for real time power quality assessment. Int J Electr Power Energy Syst 82:197\u2013206","journal-title":"Int J Electr Power Energy Syst"},{"issue":"17","key":"2707_CR6","doi-asserted-by":"crossref","first-page":"6839","DOI":"10.1016\/j.ijleo.2016.04.123","volume":"127","author":"C Wang","year":"2016","unstructured":"Wang C, Wu F, Shi Z et al (2016) Indoor positioning technique by combining RFID and particle swarm optimization-based back propagation neural network. Optik 127(17):6839\u20136849","journal-title":"Optik"},{"key":"2707_CR7","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.ins.2015.04.051","volume":"317","author":"D Chen","year":"2015","unstructured":"Chen D, Zhang X, Li W (2015) On measurements of covering rough sets based on granules and evidence theory. Inf Sci 317:329\u2013348","journal-title":"Inf Sci"},{"key":"2707_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.econmod.2014.12.035","volume":"46","author":"F-H Chen","year":"2015","unstructured":"Chen F-H, Chi D-J, Wang Y-C (2015) Detecting biotechnology industry\u2019s earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree. Econ Model 46:1\u201310","journal-title":"Econ Model"},{"key":"2707_CR9","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.ergon.2015.03.009","volume":"48","author":"M-C Chen","year":"2015","unstructured":"Chen M-C, Hsu C-L, Chang K-C, Chou M-C (2015) Applying Kansei engineering to design logistics services c a case of home delivery service. Int J Ind Ergon 48:46\u201359","journal-title":"Int J Ind Ergon"},{"key":"2707_CR10","doi-asserted-by":"crossref","unstructured":"Chu C-H, Tsai Y-T, Wang CC, Kwok T-H (2010) Exemplar-based statistical model for semantic parametric design of human body. Comput Ind, 61:541\u2013549. Soft Products Development","DOI":"10.1016\/j.compind.2010.03.004"},{"key":"2707_CR11","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1016\/j.asoc.2015.06.059","volume":"36","author":"G Czibula","year":"2015","unstructured":"Czibula G, Czibula IG, S\u00eerbu A-M, Mircea I-G (2015) A novel approach to adaptive relational association rule mining. Appl Soft Comput 36:519\u2013533","journal-title":"Appl Soft Comput"},{"key":"2707_CR12","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.asoc.2015.06.046","volume":"35","author":"K Dahal","year":"2015","unstructured":"Dahal K, Almejalli K, Hossain MA, Chen W (2015) Ga-based learning for rule identification in fuzzy neural networks. Appl Soft Comput 35:605\u2013617","journal-title":"Appl Soft Comput"},{"key":"2707_CR13","doi-asserted-by":"crossref","first-page":"1937","DOI":"10.1016\/j.eswa.2013.08.089","volume":"41","author":"DM Farid","year":"2014","unstructured":"Farid DM, Zhang L, Rahman CM, Hossain M, Strachan R (2014) Hybrid decision tree and na\u00efve Bayes classifiers for multi-class classification tasks. Expert Syst Appl 41:1937\u20131946","journal-title":"Expert Syst Appl"},{"key":"2707_CR14","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.jbi.2015.07.018","volume":"57","author":"F Kargarfard","year":"2015","unstructured":"Kargarfard F, Sami A, Ebrahimie E (2015) Knowledge discovery and sequence-based prediction of pandemic influenza using an integrated classification and association rule mining (CBA) algorithm. J Biomed Inform 57:181\u2013188","journal-title":"J Biomed Inform"},{"key":"2707_CR15","doi-asserted-by":"crossref","first-page":"7411","DOI":"10.1016\/j.eswa.2012.01.065","volume":"39","author":"K Fung","year":"2012","unstructured":"Fung K, Kwong C, Siu K, Yu K (2012) A multi-objective genetic algorithm approach to rule mining for affective product design. Expert Syst Appl 39:7411\u20137419","journal-title":"Expert Syst Appl"},{"key":"2707_CR16","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.ins.2012.02.006","volume":"196","author":"JX Fuqian Shi","year":"2012","unstructured":"Fuqian Shi JX, Sun S (2012) Employing rough sets and association rule mining in Kansei knowledge extraction. Inf Sci 196:118\u2013128","journal-title":"Inf Sci"},{"key":"2707_CR17","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1016\/j.neucom.2015.10.025","volume":"174","author":"T He","year":"2016","unstructured":"He T, Cao L, Balas VE, McCauley P, Shi F (2016) Curvature manipulation of the spectrum of valence\u2013arousal-related fMRI dataset using Gaussian-shaped fast Fourier transform and its application to fuzzy KANSEI adjectives modeling. Neurocomputing 174:1049\u20131059","journal-title":"Neurocomputing"},{"key":"2707_CR18","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/s10479-010-0826-7","volume":"195","author":"V-NH Hong-Bin Yan","year":"2012","unstructured":"Hong-Bin Yan V-NH, Nakamori Y (2012) A group non additive multi-attribute consumer-oriented Kansei evaluation model with an application to traditional crafts. Ann Oper Res 195:325\u2013354","journal-title":"Ann Oper Res"},{"key":"2707_CR19","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.asoc.2015.09.015","volume":"38","author":"KY Huang","year":"2016","unstructured":"Huang KY, Li I-H (2016) A multi-attribute decision-making model for the robust classification of multiple inputs and outputs datasets with uncertainty. Appl Soft Comput 38:176\u2013189","journal-title":"Appl Soft Comput"},{"key":"2707_CR20","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.ergon.2012.05.003","volume":"42","author":"Y Huang","year":"2012","unstructured":"Huang Y, Chen C-H, Khoo LP (2012) Kansei clustering for emotional design using a combined design structure matrix. Int J Ind Ergon 42:416\u2013427","journal-title":"Int J Ind Ergon"},{"key":"2707_CR21","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.ergon.2013.11.005","volume":"44","author":"Y Huang","year":"2014","unstructured":"Huang Y, Chen C-H, Wang I-HC, Khoo LP (2014) A product configuration analysis method for emotional design using a personal construct theory. Int J Ind Ergon 44:120\u2013130","journal-title":"Int J Ind Ergon"},{"key":"2707_CR22","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s10015-013-0123-z","volume":"18","author":"M Imai","year":"2013","unstructured":"Imai M, Imai Y, Hattori T (2013) Collaborative design and its evaluation through Kansei engineering approach. Artif Life Robot 18:233\u2013240","journal-title":"Artif Life Robot"},{"key":"2707_CR23","doi-asserted-by":"crossref","unstructured":"Jiang H, Kwong C, Law M, Ip W (2013) Development of customer satisfaction models for affective design using rough set and {ANFIS} approaches. Proc Comput Sci 22:104\u2013112. In: 17th international conference in knowledge based and intelligent information and engineering systems\u2014KES2013","DOI":"10.1016\/j.procs.2013.09.086"},{"key":"2707_CR24","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.ins.2015.09.037","volume":"329","author":"L Jiang","year":"2015","unstructured":"Jiang L, Wang S, Li C, Zhang L (2015) Structure extended multinomial naive Bayes. Inf Sci 329:346\u2013356","journal-title":"Inf Sci"},{"key":"2707_CR25","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.fuel.2016.01.043","volume":"173","author":"Jun Cheng","year":"2016","unstructured":"Cheng Jun, Wang Xin, Si Tingting et al (2016) Ignition temperature and activation energy of power coal blends predicted with back-propagation neural network models. Fuel 173:230\u2013238","journal-title":"Fuel"},{"key":"2707_CR26","doi-asserted-by":"crossref","first-page":"13492","DOI":"10.1016\/j.eswa.2012.07.009","volume":"39","author":"L Koc","year":"2012","unstructured":"Koc L, Mazzuchi TA, Sarkani S (2012) A network intrusion detection system based on a hidden na\u00efve Bayes multiclass classifier. Expert Syst Appl 39:13492\u201313500","journal-title":"Expert Syst Appl"},{"key":"2707_CR27","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.knosys.2015.04.020","volume":"85","author":"C-H Lee","year":"2015","unstructured":"Lee C-H (2015) A gradient approach for value weighted classification learning in naive Bayes. Knowl-Based Syst 85:71\u201379","journal-title":"Knowl-Based Syst"},{"key":"2707_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.08.001","author":"N Khanna Leema","year":"2016","unstructured":"Leema N Khanna, Nehemiah H, Kannan A (2016) Neural network classifier optimization using differential evolution with global information and back propagation algorithm for clinical datasets. Appl Soft Comput. doi: 10.1016\/j.asoc.2016.08.001","journal-title":"Appl Soft Comput"},{"key":"2707_CR29","doi-asserted-by":"crossref","unstructured":"Li W, Xu W (2015) Double-quantitative decision-theoretic rough set. Inf Sci 316:54\u201367. Nature-Inspired Algorithms for Large Scale Global Optimization","DOI":"10.1016\/j.ins.2015.04.020"},{"key":"2707_CR30","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.knosys.2015.04.017","volume":"85","author":"Ligang Zhou","year":"2015","unstructured":"Zhou Ligang, Dong Lu, Fujita Hamido (2015) The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches. Knowl-Based Syst 85:52\u201361","journal-title":"Knowl-Based Syst"},{"key":"2707_CR31","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.aei.2014.09.002","volume":"29","author":"M-C Lin","year":"2015","unstructured":"Lin M-C, Lin Y-H, Lin C-C, Chen M-S, Hung Y-C (2015) An integrated neuro-genetic approach incorporating the Taguchi method for product design. Adv Eng Inform 29:47\u201358","journal-title":"Adv Eng Inform"},{"key":"2707_CR32","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1016\/j.asoc.2015.08.016","volume":"37","author":"S-H Lin","year":"2015","unstructured":"Lin S-H, Huang C-C, Che Z-X (2015) Rule induction for hierarchical attributes using a rough set for the selection of a green fleet. Appl Soft Comput 37:456\u2013466","journal-title":"Appl Soft Comput"},{"key":"2707_CR33","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.ergon.2014.01.004","volume":"44","author":"W Lu","year":"2014","unstructured":"Lu W, Petiot J-F (2014) Affective design of products using an audio-based protocol: application to eyeglass frame. Int J Ind Ergon 44:383\u2013394","journal-title":"Int J Ind Ergon"},{"key":"2707_CR34","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.ergon.2012.01.007","volume":"42","author":"S-J Luo","year":"2012","unstructured":"Luo S-J, Fu Y-T, Korvenmaa P (2012) A preliminary study of perceptual matching for the evaluation of beverage bottle design. Int J Ind Ergon 42:219\u2013232","journal-title":"Int J Ind Ergon"},{"key":"2707_CR35","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.humov.2015.04.003","volume":"41","author":"Y Luximon","year":"2015","unstructured":"Luximon Y, Cong Y, Luximon A, Zhang M (2015) Effects of heel base size, walking speed, and slope angle on center of pressure trajectory and plantar pressure when wearing high-heeled shoes. Hum Mov Sci 41:307\u2013319","journal-title":"Hum Mov Sci"},{"key":"2707_CR36","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.apradiso.2016.04.011","volume":"117","author":"M del Rosario Mart\u00ednez-Blanco","year":"2016","unstructured":"del Rosario Mart\u00ednez-Blanco M, Ornelas-Vargas G, Sol\u00eds-S\u00e1nchez LO et al (2016) A comparison of back propagation and generalized regression neural networks performance in neutron spectrometry. Appl Radiat Isot 117:20\u201326","journal-title":"Appl Radiat Isot"},{"issue":"1","key":"2707_CR37","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s12652-015-0307-6","volume":"7","author":"Y-EY Meng-Dar Shieh","year":"2016","unstructured":"Meng-Dar Shieh Y-EY, Huang C-L (2016) Eliciting design knowledge from affective responses using rough sets and Kansei engineering system. J Ambient Intell Human Comput 7(1):107\u2013120","journal-title":"J Ambient Intell Human Comput"},{"key":"2707_CR38","doi-asserted-by":"crossref","unstructured":"Nagamachi M (1995) Kansei engineering: a new ergonomic consumer oriented technology for product development. Int J Ind Ergon 15:3\u201311. Kansei engineering: an ergonomic technology for product development","DOI":"10.1016\/0169-8141(94)00052-5"},{"key":"2707_CR39","doi-asserted-by":"crossref","unstructured":"Nagamachi M (2002) Kansei engineering as a powerful consumer-oriented technology for product development. Appl Ergon 33:289\u2013294. Fundamental reviews in applied ergonomics 2002","DOI":"10.1016\/S0003-6870(02)00019-4"},{"key":"2707_CR40","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.ins.2015.05.006","volume":"320","author":"D Nguyen","year":"2015","unstructured":"Nguyen D, Nguyen LT, Vo B, Hong T-P (2015) A novel method for constrained class association rule mining. Inf Sci 320:107\u2013125","journal-title":"Inf Sci"},{"key":"2707_CR41","doi-asserted-by":"crossref","first-page":"4361","DOI":"10.1016\/j.eswa.2015.01.002","volume":"42","author":"LT Nguyen","year":"2015","unstructured":"Nguyen LT, Nguyen NT (2015) An improved algorithm for mining class association rules using the difference of obidsets. Expert Syst Appl 42:4361\u20134369","journal-title":"Expert Syst Appl"},{"key":"2707_CR42","doi-asserted-by":"crossref","unstructured":"Nishiwaki T, Nonogawa M (2015) Application of topological optimization technique to running shoe designing. Proc Eng 112:314\u2013319. In: \u2018The impact of technology on sport VI\u2019 7th Asia-Pacific congress on sports technology, APCST2015","DOI":"10.1016\/j.proeng.2015.07.251"},{"key":"2707_CR43","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s12046-013-0198-1","volume":"39","author":"NS Nithya","year":"2014","unstructured":"Nithya NS, Duraiswamy K (2014) Gain ratio based fuzzy weighted association rule mining classifier for medical diagnostic interface. Sadhana 39:39\u201352","journal-title":"Sadhana"},{"issue":"3","key":"2707_CR44","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.eij.2015.06.006","volume":"16","author":"A Ogunde","year":"2015","unstructured":"Ogunde A, Folorunso O, Sodiya A (2015) A partition enhanced mining algorithm for distributed association rule mining systems. Egypt Inform J 16(3):297\u2013307","journal-title":"Egypt Inform J"},{"key":"2707_CR45","doi-asserted-by":"crossref","unstructured":"Pan D, Liu D, Zhou J, Zhang G (2015) Anomaly detection for satellite power subsystem with associated rules based on kernel principal component analysis. Microelectron Reliab 55:2082\u20132086. In: Proceedings of the 26th European symposium on reliability of electron devices, failure physics and analysis si: proceedings of ESREF 2015","DOI":"10.1016\/j.microrel.2015.07.010"},{"key":"2707_CR46","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.procs.2015.07.372","volume":"57","author":"Parneet Kaur","year":"2015","unstructured":"Kaur Parneet, Singh Manpreet, Josan Gurpreet Singh (2015) Classification and prediction based data mining algorithms to predict slow learners in education sector. Proc Comput Sci 57:500\u2013508","journal-title":"Proc Comput Sci"},{"key":"2707_CR47","doi-asserted-by":"crossref","unstructured":"Sagara T, Hagiwara M (2014) Natural language neural network and its application to question-answering system. Neurocomputing 142:201\u2013208. SI: computational intelligence techniques for new product development","DOI":"10.1016\/j.neucom.2014.04.048"},{"key":"2707_CR48","doi-asserted-by":"crossref","first-page":"5754","DOI":"10.1016\/j.eswa.2015.02.051","volume":"42","author":"J Sahoo","year":"2015","unstructured":"Sahoo J, Das AK, Goswami A (2015) An efficient approach for mining association rules from high utility itemsets. Expert Syst Appl 42:5754\u20135778","journal-title":"Expert Syst Appl"},{"key":"2707_CR49","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1016\/j.cie.2013.05.008","volume":"65","author":"M-D Shieh","year":"2013","unstructured":"Shieh M-D, Yeh Y-E (2013) Developing a design support system for the exterior form of running shoes using partial least squares and neural networks. Comput Ind Eng 65:704\u2013718","journal-title":"Comput Ind Eng"},{"key":"2707_CR50","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.displa.2010.12.001","volume":"32","author":"S Smith","year":"2011","unstructured":"Smith S, Fu S-H (2011) The relationships between automobile head-up display presentation images and drivers Kansei. Displays 32:58\u201368","journal-title":"Displays"},{"key":"2707_CR51","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/j.neucom.2015.03.032","volume":"166","author":"NN Son","year":"2015","unstructured":"Son NN, Anh HPH (2015) Adaptive displacement online control of shape memory alloys actuator based on neural networks and hybrid differential evolution algorithm. Neurocomputing 166:464\u2013474","journal-title":"Neurocomputing"},{"issue":"C","key":"2707_CR52","first-page":"140","volume":"285","author":"M Stepnicka","year":"2015","unstructured":"Stepnicka M, Burda M, Stepnickova L (2015) Fuzzy rule base ensemble generated from data by linguistic associations mining. Fuzzy Sets Syst 285(C):140\u2013161","journal-title":"Fuzzy Sets Syst"},{"key":"2707_CR53","doi-asserted-by":"crossref","unstructured":"Suresh A, Harish K, Radhika N (2015) Particle swarm optimization over back propagation neural network for length of stay prediction. Proc Comput Sci 46:268\u2013275. In: Proceedings of ICICT 2014, 3\u20135 December 2014 at Bolgatty Palace and Island Resort, Kochi, India","DOI":"10.1016\/j.procs.2015.02.020"},{"key":"2707_CR54","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.aei.2013.03.006","volume":"27","author":"C Tang","year":"2013","unstructured":"Tang C, Fung K, Lee EW, Ho G, Siu KW, Mou W (2013) Product form design using customer perception evaluation by a combined super ellipse fitting and ANN approach. Adv Eng Inform 27:386\u2013394","journal-title":"Adv Eng Inform"},{"key":"2707_CR55","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1007\/s10015-012-0036-2","volume":"17","author":"KS Tzu-Hsuan Huang","year":"2012","unstructured":"Tzu-Hsuan Huang KS, Yokota M (2012) Toward artificial Kansei based on mental image directed semantic theory. Artif Life Robot 17:186\u2013190","journal-title":"Artif Life Robot"},{"key":"2707_CR56","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/S1881-8366(08)80001-8","volume":"1","author":"M Ushada","year":"2008","unstructured":"Ushada M, Murase H (2008) Pattern extraction from human preference reasoning using conditional probability co-occurrences matrix of texture analysis. Eng Agric Environ Food 1:45\u201350","journal-title":"Eng Agric Environ Food"},{"key":"2707_CR57","doi-asserted-by":"crossref","unstructured":"Ushada M, Okayama T, Suyantohadi A, Khuriyati N, Murase H (2015) Daily worker evaluation model for SME-scale food production system using Kansei engineering and artificial neural network. Agric Agric Sci Proc 3:84\u201388. In: International conference on agro-industry (IcoA): Sustainable and Competitive Agro-industry for Human Welfare Yogyakarta-INDONESIA 2014","DOI":"10.1016\/j.aaspro.2015.01.018"},{"key":"2707_CR58","doi-asserted-by":"crossref","first-page":"8738","DOI":"10.1016\/j.eswa.2011.01.083","volume":"38","author":"K-C Wang","year":"2011","unstructured":"Wang K-C (2011) A hybrid Kansei engineering design expert system based on grey system theory and support vector regression. Expert Syst Appl 38:8738\u20138750","journal-title":"Expert Syst Appl"},{"key":"2707_CR59","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1016\/j.eswa.2014.08.018","volume":"42","author":"L Wang","year":"2015","unstructured":"Wang L, Zeng Y, Chen T (2015) Back propagation neural network with adaptive differential evolution algorithm for time series forecasting. Expert Syst Appl 42:855\u2013863","journal-title":"Expert Syst Appl"},{"issue":"1","key":"2707_CR60","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/0022-0000(93)90048-2","volume":"46","author":"Wojciech Ziarko","year":"1993","unstructured":"Ziarko Wojciech (1993) Variable precision rough set model. J Comput Syst Sci 46(1):39\u201359","journal-title":"J Comput Syst Sci"},{"key":"2707_CR61","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1016\/j.eswa.2014.09.019","volume":"42","author":"J Wu","year":"2015","unstructured":"Wu J, Pan S, Zhu X, Cai Z, Zhang P, Zhang C (2015) Self-adaptive attribute weighting for na\u00efve Bayes classification. Expert Syst Appl 42:1487\u20131502","journal-title":"Expert Syst Appl"},{"key":"2707_CR62","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.ins.2015.08.011","volume":"327","author":"Y Yao","year":"2016","unstructured":"Yao Y, She Y (2016) Rough set models in multi granulation spaces. Inf Sci 327:40\u201356","journal-title":"Inf Sci"},{"key":"2707_CR63","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.eswa.2007.09.041","volume":"36","author":"L-Y Zhai","year":"2009","unstructured":"Zhai L-Y, Khoo L-P, Zhong Z-W (2009) A dominance-based rough set approach to Kansei engineering in product development. Expert Syst Appl 36:393\u2013402","journal-title":"Expert Syst Appl"},{"key":"2707_CR64","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.ergon.2008.11.003","volume":"39","author":"L-Y Zhai","year":"2009","unstructured":"Zhai L-Y, Khoo L-P, Zhong Z-W (2009) A rough set based decision support approach to improving consumer affective satisfaction in product design. Int J Ind Ergon 39:295\u2013302","journal-title":"Int J Ind Ergon"},{"key":"2707_CR65","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.ijar.2011.12.006","volume":"53","author":"H Zhang","year":"2012","unstructured":"Zhang H, Zhou J, Miao D, Gao C (2012) Bayesian rough set model: a further investigation. Int J Approximate Reasoning 53:541\u2013557","journal-title":"Int J Approximate Reasoning"},{"key":"2707_CR66","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.neucom.2015.01.085","volume":"169","author":"X Zhang","year":"2015","unstructured":"Zhang X, Hao S, Xu C, Qian X, Wang M, Jiang J (2015) Image classification based on low-rank matrix recovery and naive Bayes collaborative representation. Neurocomputing 169:110\u2013118","journal-title":"Neurocomputing"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2707-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2707-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2707-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T23:51:49Z","timestamp":1498348309000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2707-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,17]]},"references-count":66,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["2707"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2707-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,17]]}}}