Multi-attribute Decision Making Based on Z-valuation
| Autor: | Rafig R. Aliyev |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Distance between Z-vectors
Mathematical optimization Weighted sum model 021103 operations research Ideal (set theory) Basis (linear algebra) Computer science 0211 other engineering and technologies Z-number TOPSIS 02 engineering and technology Ideal solution 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Web services selection Decision making Selection (genetic algorithm) General Environmental Science Valuation (algebra) Valuation (finance) |
| Zdroj: | Procedia Computer Science. 102:218-222 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2016.09.393 |
| Popis: | In this paper we investigate multi-attribute decision making problem, where the attribute values are Z-numbers, and the weight information on attributes are partially reliable. The presented method is based on overall criteria positive ideal and negative ideal solution of alternatives and distance between Z-vectors. Final decision alternative is selected on basis of degree of membership of candidates belonging to the positive ideal solution. A numerical example on multi-attribute decision making for Web Services selection is given to illustrate the solution processes of the suggested method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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