Paper:

# Application of Rough Set-Based Information Analysis to Questionnaire Data

## Naoto Yamaguchi^{*}, Mao Wu^{*}, Michinori Nakata^{**},

and Hiroshi Sakai^{*}

^{*}Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu 804-8550, Japan

^{**}Faculty of Management and Information Science, Josai International University, Gumyo, Togane, Chiba 283-8555, Japan

This article reports an application of *Rough Nondeterministic Information Analysis (RNIA)* to two data sets. One is the Mushroom data set in the UCI machine leaning repository, and the other is a student questionnaire data set. Even though these data sets include many missing values, we obtained some interesting rules by using our *getRNIA* software tool. This software is powered by the *NIS-Apriori* algorithm, and we apply rule generation and question-answering functionalities to data sets with nondeterministic values.

*J. Adv. Comput. Intell. Intell. Inform.*, Vol.18, No.6, pp. 953-961, 2014.

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