@article{oai:kyutech.repo.nii.ac.jp:00004757,
 author = {Sakai, H and 酒井, 浩 and Koba, Kazuhiro and Nakata, Michinori},
 issue = {3},
 journal = {Kansei Engineering International Journal},
 month = {Apr},
 note = {Non-deterministic Information Systems (NISs) have been recognized to be the most important framework for handling information incompleteness in tables, and several theoretical work has been examined. We follow this robust framework, and we have been developing algorithms and tool programs, which can handle the rough sets based concepts in NISs, on computers. We are simply calling this work Rough Non-deterministic Information Analysis (RNIA). This paper briefly surveys RNIA, and applies RNIA to class evaluation data, which consists of evaluation on 16 questions by 60 students. In this data, Question 16“(Q16) Rate this class in either 1, 2, 3, 4 or 5 grade”is the decision attribute, and data dependency and rules in the form of“Condition=> [Q16, 5]”are considered. The most characteristic point is that [Q16, 5] strongly depended upon question“(Q3) Was the teacher polite in every class?”. Question (Q3) is related to the emotional impression of a teacher, and the evaluation of a half-year class by every student seems to express every student's emotional impression of a teacher.},
 pages = {25--32},
 title = {An Application of Rough Non-deterministic Information Analysis to Class Evaluation Data by Students},
 volume = {6},
 year = {2006},
 yomi = {サカイ, ヒロシ}
}