Faculty Profiles - Kazutomi Sugihara

Presentations -

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Interval Evaluation by Interval AHP

Kazutomi Sugihara, Hideo Tanaka

Fuzzy System Symposium 1999

Possibilistic AHP Models for Interval Data

Kazutomi Sugihara, Yutaka Maeda, Hideo Tanaka

Interval Evaluation by AHP with Rough Set Concept International conference

Kazutomi Sugihara, Yutaka Maeda, Hideo Tanaka

The 7th International Work shop, New Directions in Rough Sets, Data Mining, and Granular-Soft Computing International Rough Set Society

本発表では, 区間AHPとその定式化について述べている．区間AHPでは, 不確かで一貫性のないデータに対し, 区間重要度の比で2つの観点から近似し, 2つのモデルを定式化している. また, データが欠落している場合に, その欠落値を選好関係の推移律から推定する方法について提案している．AHPにおいて, データが欠落している場合に対応可能であれば, 一対比較の回数を少なくすることが可能であり, 意思決定者の負担を軽減できる.

On Interval AHP Models International conference

Kazutomi Sugihara, Hideo Tanaka, Hiroaki Ishii

The 4th Asian Fuzzy Systems Symposium

On Interval AHP models by quadratic programming International conference

Kazutomi Sugihara, Hideo Tanaka, Hiroaki Ishii

The 17th European Conference on Operational Research Association of European Operational Research Societies

Interval Evaluations to Inconsistent Judgments in Analytic Hierarchy Process International conference

Kazutomi Sugihara, Hideo Tanaka, Hiroaki Ishii

The 3rd Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty

Non-Additive Measures by Interval Probability Functions International conference

Hideo Tanaka, Kazutomi Sugihara, Yutaka Maeda

International Workshop on Rough Set Theory and Granular Computing International Rough Set Society

不確かさを表現するのに, 与えられた情報から1つの確率分布を常に決めるという仮定の下で, 確率理論は概ね定義されている. しかし, 現実問題では, この仮定を満足していない場合が存在する. このような場合, 不確かな情報から確率分布の集合を予測する方が適切である. 本発表では, 上界関数・下界関数と呼ばれる2つの確率関数を提案し, これらの関数によって区間確率を表現することについて説明している.

Fuzzy AHP with Incomplete Information International conference

Kazutomi Sugihara, Hideo Tanaka, Hiroaki Ishii

Joint 9th IFSA World Congress and 20th NAFIPS International Conference International Fuzzy Systems Association

Rule Extraction from Information Systems with Interval Values

Rough Set Approach to Information Systems with Imprecise Decisions International conference

Kazutomi Sugihara, Hiroaki Ishii, Hideo Tanaka

The 5th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty

Rough Sets Technique for Group Decision Making Problems International conference

Kazutomi Sugihara, Hiroaki Ishii, Hideo Tanaka

The 9th Asia Pacific Management Conference

Rule Extraction Based on Rough Sets in Group Decision Making Problems International conference

Kazutomi Sugihara, Hiroaki Ishii, Hideo Tanaka

The 8th World Multi- Conference on Systemics, Cybernetics and Informatics

Rough Set Approach to Information Systems with Interval Decision Value in Evaluation Problems International conference

Kazutomi Sugihara, Hideo Tanaka

International Symposium on Fuzzy and Rough Sets 2006 International Fuzzy Sets Association

大学生活の過ごし方から見た学生タイプの分析－複数の高等教育機関による比較と検討－

徳野淳子, 田中洋一, 杉原一臣, 篭谷隆弘, 山川修

第40回教育システム情報学会全国大会教育システム情報学会

Teaching Portfolio Workshop By University Collaboration in Fukui Prefecture International conference

Kazutomi SUGIHARA, Akemi EMOTO, Yoichi TANAKA, Osamu YAMAKAWA

Designing and holding a life-portfolio workshop for adults with reference to the method of the academic-portfolio workshop

Osamu YAMAKAWA, Kazutomi SUGIHARA, Kazuko EZAKI

The 32nd Annual Conference of Japan Society for Educational Technology 日本教育工学会

発表者らは, 高等教育機関向けのティーチング・ポートフォリオ作成ワークショップ（TPWS）やアカデミック・ポートフォリオ作成ワークショップ（APWS）の手法を参考に, 一般社会人が自分の人生を振り返り, 人生の再設計を促すためのライフ・ポートフォリオ講座（LPWS）を設計し実施した. 本発表では，LPWSを設計する上での注意点と問題点，実施した結果，参加者がどのような感想を持ったかを報告し，それを踏まえた上で，今後の改善点を議論した．

Weighted Distance in Directed Networks for Measuring Social Influence

Thanchanok Laopromsukon, Akihiro Fujihara, Daisuke Nogiwa, and Kazutomi Sugihara

Japan Society For Fuzzy Theory and Intelligent Informatics, The 25th Hokushinetsu Branch Symposium and the 21st Symposium on Human Symbiosis System 2016.11 Hokuriku Branch and Research Group "Human Symbiosis System" of Japan Society For Fuzzy Theory and Intelligent Informatics

In this paper, a new measurement in directed social networks is proposed. Assuming directed networks, our measurement provides an evaluation of each vertex as social influence in consideration of not only the number of incoming edges to a referred vertex but also outgoing edges from a referring vertex. Through real experience in society, it seems that the concept is intuitively plausible. To verify the relevance be-tween the proposed index and the previous ones, statistical hypothesis testing for non-correlation is performed with randomly generated networks.

Designing and holding a workshop for writing an application of KAKENHI International conference

Osamu YAMAKAWA, Yoichi TANAKA, Kazutomi SUGIHARA

Effects of introducing actual-robot controls in programming experience classes for high school students based on classification of respondents

Kazutomi SUGIHARA, Masahiro OSOGAMI, Kazumasa OHKUMA

Japan Society for Educational Technology, Study Group Meeting in Special Interest Group "Programming Education" 2018.3 Japan Society for Educational Technology

In programming classes for high school students that we have been working on so far, we compared the results of questionnaires for classes in which only programming was experienced and classes in which robots were controlled using the programs created in the class, and the subjects were oriented towards science. It was found that the students who did not use the machine tended to be more interested in the class where the actual machine was introduced. In this paper, using statistical methods such as clustering, we classify and interpret student types from the results of pre-class questionnaires, and examine the effect of introducing actual machines for each classification.

Trial of Feature Extraction of Effective Students in Programming Experience Classes with Actual Equipment

An attempt to estimate micro markets by time series clustering

Kazutomi Sugihara

32nd Hokuriku Branch Symposium and 36th Human Symbiotic System Research Meeting in Japan Society for Fuzzy Thenory and Intelligent Informatics 2023.12 Hokuriku Branch of Japan Society for Fuzzy Thenory and Intelligent Informatics

Attempt to review questionnaire items using item response theory

Kazutomi Sugihara

The 44th Annual Conference of JSET 2024.3 Japan Society for Educational Technology

Most educational institutions now conduct questionnaires of class evaluation, but if there are flaws in the content or method of the questionnaire, the results obtained may not be accurate. The author considers this situation to be a "dysfunction of questionnaire", and attempts to revise the items using item response theory as a strategy for redesigning the questionnaire using statistical methods. In this presentation, we reported the results of an analysis using item response theory.

Detection of Non-Functional Questionnaire Items Using a Binary Logistic Model

Kazutomi Sugihara

Fuzzy System Symposium 2024 2024.9 Japan Society for Fuzzy Theory and Intelligent Informatics

In the implementation of various questionnaires, it is conceivable that certain survey items may fail to accurately capture respondents' thoughts. This issue, known as "questionnaire dysfunction," has prompted ongoing efforts to establish a process for reviewing and improving questionnaire items. In this presentation, as part of the questionnaire redesign process, we employ a quantitative approach to detect non-functional items. Specifically, using the binary logistic model within the framework of Item Response Theory (IRT), we estimate item parameters, classify survey items based on their characteristics, and identify candidates for potentially problematic items.

Assessment of Measurement Properties and Development of Improvement Criteria for Questionnaire Items Based on the Two-Parameter Logistic Item Response Model

Kazutomi Sugihara

34th Hokuriku Branch Symposium in Japan Society for Fuzzy Thenory and Intelligent Informatics 2025.12 Hokuriku Branch of Japan Society for Fuzzy Thenory and Intelligent Informatics

This study examines the measurement properties of questionnaire items using the two-parameter logistic (2PL) item response model and proposes systematic criteria for identifying items requiring improvement. Traditional evaluation approaches often overlook item-level issues such as low discrimination or extreme difficulty, limiting the precision of questionnaire-based assessments. Applying the 2PL model to an existing dataset, this study analyzes the distribution of discrimination(a_j) and difficulty(b_j) parameters to capture the overall measurement structure. Based on these parameter estimates, quantitative thresholds are established to classify items as core items, candidates for revision, or candidates for removal. Qualitative criteria, including ambiguity of wording and double-barreled content, are integrated to complement the statistical diagnostics. The study further illustrates how the proposed framework supports questionnaire redesign, such as the development of short forms. The findings contribute a practical and scalable methodology for enhancing the validity and efficiency of educational and psychological measurement.

Optimization of Questionnaire Scales through Item Revision Based on a Comparison of 2PL and 3PL Models

Kazutomi Sugihara

The 46th Annual Conference of JSET 2026.3 Japan Society for Educational Technology

This presentation aims to examine the measurement properties of questionnaire items using the two-parameter and three-parameter logistic (2PL/3PL) models of item response theory in order to improve scale accuracy. By comparatively analyzing item discrimination, difficulty, and guessing parameters, we propose a method for identifying items requiring improvement from the perspectives of model fit and information. Through this approach, we seek to systematize criteria for item removal and revision and to develop questionnaire scales with higher reliability and validity.

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