Extracting Preference Rules Using <i>Kansei</i> Retrieval Agents with Fuzzy Inference-Reference-Cited by-同舟云学术

Extracting Preference Rules Using <i>Kansei</i> Retrieval Agents with Fuzzy Inference

Published:2022 Issue:3 Volume:21 Page:181-190
ISSN:2187-5413
Container-title:International Journal of Affective Engineering
language:en
Short-container-title:IJAE

Author:

NISHIMURA Yuka¹,TAKENOUCHI Hiroshi²,TOKUMARU Masataka³

Affiliation:

1. Graduate School of Fukuoka Institute of Technology

2. Fukuoka Institute of Technology

3. Kansai University

Publisher

Japan Society of Kansei Engineering

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/ijae/21/3/21_TJSKE-D-21-00075/_pdf

Reference13 articles.

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2. 2. Takenouchi, H., and Tokuamaru, M.; Kansei retrieval agent model with fuzzy reasoning, International Journal of Fuzzy Systems, 19(6), pp.1803-1811, 2017.

3. 3. Wu, H., Li, Y., Wu, C., Ma, Z., and Zhou, H.; A longitudinal minimum safety distance model based on driving intention and fuzzy reasoning, 4th International Conference on Transportation Information and Safety, IEEE, pp.158-162, 2017.

4. 4. Kwolek, B., and Kepski, M.; Fuzzy inference-based fall detection using kinect and body-worn accelerometer, Applied Soft Computing, 40, pp.305-318, 2016.

5. 5. Gomez, A. H. F., Galarza, G. C., Nuñez, R. J., and Galarza, G. C. F.; The challenge of security based of fuzzy reasoning on the surveillance systems, 2017 12th Iberian Conference on Information Systems and Technologies (CISTI), IEEE, pp.1-7, 2017.

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