A Selection Model with Linguistically Expressed Objectives
Author(s) -
Jari Kortelainen
Publication year - 2005
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2005.p0498
Subject(s) - computer science , relation (database) , selection (genetic algorithm) , binary relation , similarity (geometry) , network topology , process (computing) , artificial intelligence , binary number , machine learning , data mining , natural language processing , theoretical computer science , mathematics , programming language , discrete mathematics , arithmetic , image (mathematics) , operating system
We present and generalize some ideas studied previously in [14]. We express objectives by natural language and use L -sets, binary relations, and topologies to model this knowledge. We define topological similarity M -relation between L -sets and apply multiple criteria decision making methods when selecting alternatives. As an application, we present the process of selecting a member for a project team.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom