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 Fuzzy set theory was proposed in 1965 by Professor Lotfi Asker Zadeh of the University of California, Berkeley, to quantify ambiguous concepts more precisely.Fuzzy reasoning methods use fuzzy sets to quantitatively express ambiguous concepts in natural language, and refer to algorithms that use knowledge expressed in natural language to perform reasoning.The representative fuzzy reasoning methods are Mamdani Reasoning Method, Takagi-Sugeno Reasoning Method (also called as Functional Reasoning Method), Simplified Reasoning Method, Multiplicative-Additive Reasoning Method, and Distance-type Fuzzy Reasoning Method.  
  "Human Reasoning Engine" is software that explains and demonstrates these fuzzy reasoning methods in an understandable manner, and was developed under "Exploratory Software Project" of Information-technology Promotion Agency (IPA). We have been able to provide this software to everyone as a result of continued improvement with a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology and a research grant from Casio Science Promotion Foundation.We would like to take this opportunity to express our deepest gratitude to Information-technology Promotion Agency (IPA), Ministry of Education, Culture, Sports, Science and Technology, Casio Science Promotion Foundation, project managers and various judges for their understanding of our proposal, professors who evaluated our software system, our research collaborators who have worked with us over the years, and students and researchers who contributed to our research and development.
  The copyright of "Human Reasoning Engine" is held by the developer, Shuoyu WANG."Human Reasoning Engine" is licensed free of charge; alternatively, there is no warranty for "Human Reasoning Engine".The user assumes all risks related to quality and performance of "Human Reasoning Engine".

Postscript:

②Operation has been confirmed on Windows 95, 98, 2000, XP, and Vista.
③Diagrammatic Reasoning Method and Indirect Reasoning Method etc. will be released sequentially as soon as operation is confirmed.
④"Applications" show that they can be controlled even if nonlinear mathematics models are not understood. Users can experience fun of this learning algorithm like a game.

Download from the link below.

Human Reasoning Engine Ver 1.2 (zip compressed file) 
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 This is an experience system to better understand the distance-type fuzzy reasoning. This system uses the distance-type fuzzy reasoning method, and prevents a lantern from falling by controlling mouse position. The usage is as follows.

  ② When a lantern pole is tilted to the right, place the mouse arrow to the right side of the pole, and the greater the horizontal distance from the arrow to the pole, the greater the force pushing the base of the pole to the right.

  ③ When the lantern pole is tilted to the left, place the mouse arrow to the left side of the pole, and the greater the horizontal distance from the arrow to the pole, the greater the force pushing the base of the pole to the left.

  ④Therefore, by placing the mouse arrow on the right or left side of the pole with appropriate distance, direction and magnitude of the force pushing the base of the pole can be set, and thus, it is possible to put up the pole just in the middle.

  Download from the link below.
  Control of Akita Kanto (zip compressed file) 
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 This is not an eye test using eyes as sensors, but a latest system for measuring intracerebral visual information processing ability.If you want to know how well your brain can recognize fragmented letters such as the ones shown above, please try.
 
  A five-minute measurement will show your intracerebral visual acuity as a rank in your age group.
 
  Download and try from the link below.
  Intracerebral Visual Information Processing Ability Measuring System (zip compressed file) 
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 This is not a hearing test using ears as sensors, but a latest system for measuring intracerebral voice discrimination ability.If you want to know how well your brain can discriminate voice, please try.

  By distinguishing mixed vowels (a, i, u, e, o), your intracerebral voice discrimination ability is measured.

  Download and try from the link below.
  Intracerebral Voice Discrimination Ability Measuring System (zip compressed file)
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