1. Multidimensional pairwise comparison – the idea of human-oriented science in the light of artificial intelligence and value surveys –
Balogh Anikó, Pitlik László, Szani Ferenc
Apertus Nonprofit Kft.
Magyar Tudomány Ünnepe / Emberközpontú tudomány - Tomori Pál Főiskola – Budapest –

2. MOTTO
„Science is what we understand well enough to explain to a computer. Art is everything else we do.” (Knuth, 1992 – Stanford, LCSI)
Donald Ervin Knuth (1938-) professor emeritus Stanford University. He created the language TeX.

3. Pairwise comparisons
Pairwise comparison generally is any process of comparing entities in pairs to judge which of each entity is preferred, or has a greater amount of some quantitative property, or whether or not the two entities are identical.
„Which one is more important for you? A or B?”
The method of pairwise comparison is used in:
preferences, attitudes, housing market, voting systems, social choice, public choice, requirements engineering and multiagent AI systems. (

4. Basic parameters

5. Potential attributes
Index Nr.1. - Partiality Index Nr.2. – Multiple answers Index Nr.3. – Chaos potential I. Index Nr.4. – Chaos potential II. Index Nr.5. – Lack of opinions Index Nr.6. – Sameness index Index Nr.7. – STD-DEV Index Nr.8. – Inconsistent object islands Index Nr.9. – Rationality of islands Index Nr.10. – Rational islands Index Nr.11. –Independent islands Index Nr.12. – Independent islands Index Nr.13. – Corrupted chains

6. Identifying sameness

7. Application in practice
Collaborative content recommendation system
Reference: Bozóki’s (2006) description of Brain Farm
Brain Farm – collaborative knowledge management system of the Hungarian academia
Recommendations based on:
Keywords
Activities
Evaluations by users

8. Recommendation system by pairwise comparisons
Users preferences of study programs, literature, online communities, fora, etc.
Users (students) compare two items, see above
Their opinions’ consistency becomes clear
When is it not consistent?
E.g. they claim, that two study programs, which are the same, are different = obviously this evaluation is false
Or the user has no opinion, no knowledge about a certain pair

9. Example

10. Thank you for your attention. Details: http://miau. gau