Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57067
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dc.contributor.authorHung T. Nguyenen_US
dc.contributor.authorKittawit Autchariyapanitkulen_US
dc.contributor.authorVladik Kreinovichen_US
dc.date.accessioned2018-09-05T03:34:31Z-
dc.date.available2018-09-05T03:34:31Z-
dc.date.issued2017-08-30en_US
dc.identifier.other2-s2.0-85030850849en_US
dc.identifier.other10.1109/IFSA-SCIS.2017.8023330en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030850849&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57067-
dc.description.abstract© 2017 IEEE. The empirical distribution of the number of casualties in wars and terrorist attacks follows a power law with exponent 2.5. So far, there has not been a convincing explanation for this empirical fact. In this paper, we show that by using fuzzy techniques, we can explain this exponent. Interesting, we can also get a similar explanation if we use probabilistic techniques. The fact that two different techniques lead to the same explanation makes us reasonably confident that this explanation is correct.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleFuzzy techniques explain empirical power law governing wars and terrorist attacksen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systemsen_US
article.stream.affiliationsNew Mexico State University Las Crucesen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsMaejo Universityen_US
article.stream.affiliationsUniversity of Texas at El Pasoen_US
Appears in Collections:CMUL: Journal Articles

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