@article{351935,
      note = {Description based on print version record.},
      author = {Nagamachi, Mitsuo,},
      url = {http://library.usi.edu/record/351935},
      title = {Kansei/affective engineering [electronic resource] /},
      publisher = {CRC Press,},
      abstract = {Providing a guided tour through the each stage of process,  this book explores how to apply Kansei/Affective  Engineering. This book describes the psychological survey  and psycho-physiological measurement of consumer feelings  and the multivariate statistical analysis of this survey  data, including rough set models. Since soft computing  technology is very useful from the viewpoint of product  design, the author details the Expert system, neural  networks, GA, and other methods that are relevant to  support the designer's decision or the customer's choice.},
      recid = {351935},
      pages = {1 online resource (xiii, 309 p.) :},
      address = {Boca Raton, FL :},
      year = {2010},
}