| Autor: |
Zamali Tarmudi, Ung Ling-Ling |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC). |
| Popis: |
The aim of this paper is to proposed the Fuzzy Simple Hierarchy Analysis using linguistic weight to deal the ambiguity or vague multi-criteria datasets environment in selection process. It focuses on how the vague multiple datasets evaluated based on fuzzy linguistic approaches. The method was equipped with the linguistic hedge to cope this issue during the evaluation process. The selection of midsize luxury Sporty Utility Vehicles (SUVs) has been adopted to show the applicability and practicality of the proposed method. Based on the analysis results it was found that the method is highly beneficial for the buyers in the sense that it can distinguish clearly for every single judgment made during the selection process. It also offers a unique advantage and successful dealing with the diversified and too ill-defined in terms of input data criterion. Thus, the method can facilitate the potential buyers to make their decision in a simple and systematic manner. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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