prikaz prve stranice dokumenta Napredna analiza konkurentnih hipoteza
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master's thesis
Napredna analiza konkurentnih hipoteza
Zagreb: Algebra University College, 2015. urn:nbn:hr:225:111759
Kokanović, Vjeran
Algebra University College

Cite this document

Kokanović, V. (2015). Napredna analiza konkurentnih hipoteza (Master's thesis). Zagreb: Algebra University College. Retrieved from https://urn.nsk.hr/urn:nbn:hr:225:111759

Kokanović, Vjeran. "Napredna analiza konkurentnih hipoteza." Master's thesis, Algebra University College, 2015. https://urn.nsk.hr/urn:nbn:hr:225:111759

Kokanović, Vjeran. "Napredna analiza konkurentnih hipoteza." Master's thesis, Algebra University College, 2015. https://urn.nsk.hr/urn:nbn:hr:225:111759

Kokanović, V. (2015). 'Napredna analiza konkurentnih hipoteza', Master's thesis, Algebra University College, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:225:111759

Kokanović V. Napredna analiza konkurentnih hipoteza [Master's thesis]. Zagreb: Algebra University College; 2015 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:225:111759

V. Kokanović, "Napredna analiza konkurentnih hipoteza", Master's thesis, Algebra University College, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:225:111759

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Metadata
TitleNapredna analiza konkurentnih hipoteza
AuthorVjeran Kokanović
MentorRobert Kopal (mentor)
GranterAlgebra University College
Zagreb
Defense date and country2015-11-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Analiza empirijskih, statističkih i obavještajnih podataka kompleksan je zadatak koji zahtijeva visoki stupanj točnosti analitičkog zaključivanja u izrazito neizvjesnim uvjetima. Ovako izveden zaključak koristi se za popunjavanje praznina u znanju te za analitičara znači princip upravljanja nesigurnostima. Analiza konkurentnih hipoteza strukturirana je analitička metoda koja nam pomaže u razumijevanju kompleksnih problema te nam omogućuje da našoj podsvijesti nametnemo analitičku volju, savladavajući na taj način instinktivne mentalne osobine koje rezultiraju lošim i nepotpunim analizama. Veliki dio analize konkurentnih hipoteza svodi se na procjenu relevantnosti i vrijednosti dokaza kako bi se utvrdila vjerojatnost konkurentnih hipoteza. Za analitičara izazov bi bio stvaranje bolje formalne metode analize korištenjem empirijskih i statističkih podataka te formalnih uvjerenja koja se mogu koristiti u različitim okolnostima kao dokaz koji potvrđuje ili negira svaku od hipoteza. Napredna analiza konkurentnih hipoteza zasniva se na korištenju različitih matematičkih i logičkih modela poput Bayesovih mreža i subjektivne logike koji poboljšavaju rezultate analize.
Abstract (english)
Analysis of empirical, statistical and intelligence data is a complex task that requires a high degree of accuracy of analytical reasoning in an extremely uncertain conditions. This derived conclusion is used to fill gaps in knowledge and for analyst represents a principle of managing the uncertainties. Analysis of competing hypotheses is a structured method of analysis that helps us understand complex problems and allows us to impose our subconscious analytical will, overcoming instinctive mental characteristics that result in poor and incomplete analysis. A large part of the Analysis of competing hypothesis comes down to assessing the relevance and value of the evidence in order to determine the likelihood of competing hypotheses. The challenge for analyst is to create a better formal analysis methods using empirical and statistical data, and formal certainty that can be used in different circumstances as evidence that confirms or denies each of the hypotheses. Advanced analysis of competing hypothesis is based on the use of different mathematical and logical models such as Bayesian networks and subjective logic that improve analysis results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:225:111759
Study programmeTitle: Applied Computer Engineering - Graduate Professional Program
Study programme type: professional
Study level: specialist graduate
Academic / professional title: stručni/a specijalist/specijalistica inženjer računarstva (stručni/a specijalist/specijalistica inženjer računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryAlgebra Univerity College
Created on2019-05-21 13:41:25

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