Set of Experience and Decisional DNA: Experience-Based Knowledge Structures

Cesar Sanin; Edward Szczerbicki

doi:10.1007/978-3-030-39601-5

Set of Experience and Decisional DNA: Experience-Based Knowledge Structures

Abstract

This chapter presents a description of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA), argumentation for a knowledge representation, composition, configuration and metrics. SOEKS is a combination of filtered and amalgamated information obtained from formal decision events. It facilitates effective explicit representation of decisional experience taken from different technologies. SOEKS comprises variables, functions, constraints and rules associated in a DNA shape, allowing the construction of enterprises’ fingerprints called Decisional DNA. SOEKS possesses characteristics that potentialize it as a more precise knowledge representation in a world guided by sensitive dependence and uncertainty, that is, SOEKS is a suitable representation for decisional explicit knowledge that has been gifted with capabilities to manage uncertainty, preciseness and incompleteness. Furthermore, SOEKS extends into the so-called DDNA due to the characterization and aggrupation of SOEKS into different classes termed decisional chromosomes. Such decisional chromosomes simulate specialized genes that when placed together create the decisional experience of an enterprise, the Decisional DNA.

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Authors (2)

Cesar Sanin
- Newcastle University School of Engineering
Edward Szczerbicki prof. dr hab. inż.

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Keywords

SET OF EXPERIENCE KNOWLEDGE STRUCTURE (SOEKS) DECISIONAL DNA (DDNA) KNOWLEDGE REPRESENTATION

Details

Category:: Monographic publication
Type:: rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Language:: English
Publication year:: 2020
Bibliographic description:: Sanin C., Szczerbicki E.: Set of Experience and Decisional DNA: Experience-Based Knowledge Structures// Knowledge Management and Engineering with Decisional DNA/ : , 2020, s.1-47
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-030-39601-5
Verified by:: Gdańsk University of Technology