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Systems Planning and Mathematical Science Lab
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A lab that uses mathematics to support decision-making under uncertainty.
AboutAbout the lab
Aiming for human-friendly planning and decision support.
The Inuiguchi Lab aims to develop intelligent decision support technologies that incorporate information science and intelligent engineering, along with methods for systems planning.
The lab studies fundamental theories such as decision theory, mathematical programming, fuzzy set theory, and game theory.
Based on these theories, it develops and applies new decision-making methods, optimization techniques, and data analysis methods.
On the lab's website, it is introduced under the name "Inuiguchi Lab."
Key terms
- Fuzzy set theory
- A theory that represents and handles vague quantities, such as "about 100 yen," using the concept of sets
- Rough set theory
- A theory that describes objects by combinations of features and analyzes them by focusing on objects that cannot be distinguished from one another
- Game theory
- A theory that describes and analyzes situations involving multiple decision makers using mathematics
NewsLab news
A doctoral student received the Promising Global Engineering-Scientist Award
A master's student received the SICE Outstanding Student Award from the Society of Instrument and Control Engineers
A master's student received the Best Paper Award in the WIP Session at the Research Meeting on Mathematical Systems Science and Its Applications
A master's student and an Assistant Professor received the Outstanding Paper Award at the Intelligent System Symposium (FAN2024)
A master's student received the Presentation Award at the Intelligent System Symposium (FAN2024)
ResearchResearch themes
To realize human-friendly planning and decision support in a digital society, the lab aims to develop intelligent decision support technologies that incorporate information science and intelligent engineering, in addition to conventional decision science and systems engineering methods. It studies fundamental theories such as decision theory, mathematical programming, fuzzy set theory, and game theory, and develops and applies new decision analysis methods, optimization techniques, data analysis methods, soft computing, and more.
Handling uncertainty and vagueness
The lab uses fuzzy set theory and rough set theory to handle cases where the benefits or costs of a decision's outcomes cannot be estimated accurately, as well as the vagueness of linguistic evaluations. These approaches are applied to decision-making methods under uncertainty and to mathematical programming.
*Illustrative imageCooperation and competition among multiple decision makers
The lab uses game theory in situations such as formulating business strategy, where one must consider the actions of others who are competitors or cooperators. It studies the allocation of benefits and the sharing of costs under cooperation, as well as the analysis of voting power.
MembersFaculty
The Inuiguchi Lab's members consist of faculty, administrative staff, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorMasahiro Inuiguchi
- Associate ProfessorNaoki Hayashi
- Assistant ProfessorShigeaki Innan
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Fuzzy-logic-controller-block” Seng-Chi Chen, Van-Sum Nguyen, Dinh-Kha Le, Nguyen Thi Hoai Nam / CC BY 4.0 (cropped)
- Cooperation and competition among multiple decision makers: “Battle field with chess board” Carlos Valenzuela / CC BY-SA 4.0 (cropped)
- Related lab (Control and Information Systems Lab): “Blackghost” Paul Esparon, Sunil Shah, Dr Timothy Nickels and the 2008 CAUV team. / CC BY-SA 3.0 (cropped)
- Related lab (Bioimaging Lab): “ZEISS LSM 800 with Airyscan- Your Compact Confocal Power Pack ( )” ZEISS Microscopy from Germany / CC BY-SA 2.0 (cropped)
- Related lab (Fluid Mechanics Lab): “Magnetic turbulence” Giannandrea Inchingolo / CC BY-SA 4.0 (cropped)
- Related lab (Human Motor Control Lab): “Halodi Robotics' Perception Engineer With a Humanoid Collaborative Robot” Nicholas-halodi / CC BY-SA 4.0 (cropped)
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