|
In multiple criteria decision aiding (MCDA), multicriteria classification (or sorting) involves problems where a finite set of alternative actions should be assigned into a predefined set of preferentially ordered categories (classes). For example, credit analysts classify loan applications into risk categories (e.g., acceptable/unacceptable applicants), customers rate products and classify them into attractiveness groups, candidates for a job position are evaluated and their applications are approved or rejected, technical systems are prioritized for inspection on the basis of their failure risk, etc. == Problem statement == In a multicriteria classification problem (MCP) a set of ''m'' alternative actions is available. Each alternative is evaluated over a set of ''n'' criteria. The scope of the analysis is to assign each alternative into a given set of categories (classes) ''C''=. The categories are defined in an ordinal way. Assuming (without loss of generality) an ascending order, this means that category ''c''1 consists of the best alternatives whereas ''c''''2'' includes the worst (least preferred) ones. The alternatives in each category cannot be assumed be equivalent in terms of their overall evaluation (the categories are not equivalence classes). Furthermore, the categories are defined independently of the set of alternatives under consideration. In that regard, MCPs are based on an absolute evaluation scheme. For instance, a predefined specific set of categories is often used to classify industrial accidents (e.g., major, minor, etc.). These categories are not related to a specific event under consideration. Of course, in many cases the definition of the categories is adjusted over time to take into consideration the changes in the decision environment. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Multicriteria classification」の詳細全文を読む スポンサード リンク
|