Fuzzy techniques explain empirical power law governing wars and terrorist attacks

© 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. I...

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Main Authors: Hung T. Nguyen, Kittawit Autchariyapanitkul, Vladik Kreinovich
Format: Conference Proceeding
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030850849&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57067
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-570672018-09-05T03:44:38Z Fuzzy techniques explain empirical power law governing wars and terrorist attacks Hung T. Nguyen Kittawit Autchariyapanitkul Vladik Kreinovich Computer Science Mathematics © 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. 2018-09-05T03:34:31Z 2018-09-05T03:34:31Z 2017-08-30 Conference Proceeding 2-s2.0-85030850849 10.1109/IFSA-SCIS.2017.8023330 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030850849&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57067
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Mathematics
spellingShingle Computer Science
Mathematics
Hung T. Nguyen
Kittawit Autchariyapanitkul
Vladik Kreinovich
Fuzzy techniques explain empirical power law governing wars and terrorist attacks
description © 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.
format Conference Proceeding
author Hung T. Nguyen
Kittawit Autchariyapanitkul
Vladik Kreinovich
author_facet Hung T. Nguyen
Kittawit Autchariyapanitkul
Vladik Kreinovich
author_sort Hung T. Nguyen
title Fuzzy techniques explain empirical power law governing wars and terrorist attacks
title_short Fuzzy techniques explain empirical power law governing wars and terrorist attacks
title_full Fuzzy techniques explain empirical power law governing wars and terrorist attacks
title_fullStr Fuzzy techniques explain empirical power law governing wars and terrorist attacks
title_full_unstemmed Fuzzy techniques explain empirical power law governing wars and terrorist attacks
title_sort fuzzy techniques explain empirical power law governing wars and terrorist attacks
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030850849&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57067
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