Publication result detail

EQUATIONLESS QUALITATIVE MODELS OF BUSINESS INTELLIGENCE TASKS BASED ON COMMON SENSE HEURISTICS

KŘÍŽ, J.; DOHNAL, M.

Original Title

EQUATIONLESS QUALITATIVE MODELS OF BUSINESS INTELLIGENCE TASKS BASED ON COMMON SENSE HEURISTICS

English Title

EQUATIONLESS QUALITATIVE MODELS OF BUSINESS INTELLIGENCE TASKS BASED ON COMMON SENSE HEURISTICS

Type

Paper in proceedings (conference paper)

Original Abstract

The case study presents a model based on integration of 6 equationless relations using 5 variables e.g. Degrees of data consistence and data completeness. The result is represented by 11 scenarios. The paper is self-contained, no a prior knowledge of qualitative models is required.

English abstract

The case study presents a model based on integration of 6 equationless relations using 5 variables e.g. Degrees of data consistence and data completeness. The result is represented by 11 scenarios. The paper is self-contained, no a prior knowledge of qualitative models is required.

Keywords

Business Intelligence, Qualitative Model; Qualitative Reasoning; Scenario; Transitional graph

Key words in English

Business Intelligence, Qualitative Model; Qualitative Reasoning; Scenario; Transitional graph

Authors

KŘÍŽ, J.; DOHNAL, M.

RIV year

2018

Released

24.08.2017

Publisher

STEF 92

Location

Sofia

Book

4th INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC CONFERENCE ON SOCIAL SCIENCES AND ARTS

ISBN

2367-5659

Periodical

SGEM International Multidisciplinary Scientific Conference on Social Sciences and Arts

Volume

2017

Number

1

State

Republic of Bulgaria

Pages from

371

Pages to

384

Pages count

14

BibTex

@inproceedings{BUT141139,
  author="Jiří {Kříž} and Mirko {Dohnal}",
  title="EQUATIONLESS QUALITATIVE MODELS OF BUSINESS INTELLIGENCE TASKS BASED ON COMMON SENSE HEURISTICS",
  booktitle="4th INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC CONFERENCE ON SOCIAL SCIENCES AND ARTS",
  year="2017",
  journal="SGEM International Multidisciplinary Scientific Conference on Social Sciences and Arts",
  volume="2017",
  number="1",
  pages="371--384",
  publisher="STEF 92",
  address="Sofia",
  issn="2367-5659"
}