A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness
Strategic level decision-making is very complex in nature because it consists of numerous variables and most of which cannot be quantified. These decisions are assisted based on the information available, which are both qualitative and quantitative. When comparing of different alternatives, the deci...
| Main Authors: | , , , |
|---|---|
| Format: | Citation Index Journal |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/138/ http://scholars.utp.edu.my/id/eprint/138/1/paper.pdf |
| _version_ | 1848658920261812224 |
|---|---|
| author | P.D.D., Dominic P., Parthiban M., Punniyamoorthy P., Mathiyalagan |
| author_facet | P.D.D., Dominic P., Parthiban M., Punniyamoorthy P., Mathiyalagan |
| author_sort | P.D.D., Dominic |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Strategic level decision-making is very complex in nature because it consists of numerous variables and most of which cannot be quantified. These decisions are assisted based on the information available, which are both qualitative and quantitative. When comparing of different alternatives, the decision-maker should consider both the tangible and intangible benefits of different alternatives, i.e., fuzziness. The decision may be wrong if one considers only the tangible benefits of the alternatives. So, the intangible benefits should also be considered while making the decision. Generally, it is difficult to quantify these intangible benefits, because they are often fuzzy, complicated and subjective. So, there is a need of a methodology to evaluate both tangible and intangible benefits simultaneously. The conjoint analysis is applied to arrive at the relative weightage for the attributes and the part worth values for the levels using techniques like dummy regression, linear programming and to find an alternative method to arrive at the relative weightage and part worth values in conjoint analysis using analytic hierarchy process (AHP). Validation of the model was done through a real-time example. Copyright © 2009, Inderscience Publishers.
|
| first_indexed | 2025-11-13T07:22:11Z |
| format | Citation Index Journal |
| id | oai:scholars.utp.edu.my:138 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:22:11Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:1382017-01-19T08:25:54Z http://scholars.utp.edu.my/id/eprint/138/ A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness P.D.D., Dominic P., Parthiban M., Punniyamoorthy P., Mathiyalagan Q Science (General) QA75 Electronic computers. Computer science Strategic level decision-making is very complex in nature because it consists of numerous variables and most of which cannot be quantified. These decisions are assisted based on the information available, which are both qualitative and quantitative. When comparing of different alternatives, the decision-maker should consider both the tangible and intangible benefits of different alternatives, i.e., fuzziness. The decision may be wrong if one considers only the tangible benefits of the alternatives. So, the intangible benefits should also be considered while making the decision. Generally, it is difficult to quantify these intangible benefits, because they are often fuzzy, complicated and subjective. So, there is a need of a methodology to evaluate both tangible and intangible benefits simultaneously. The conjoint analysis is applied to arrive at the relative weightage for the attributes and the part worth values for the levels using techniques like dummy regression, linear programming and to find an alternative method to arrive at the relative weightage and part worth values in conjoint analysis using analytic hierarchy process (AHP). Validation of the model was done through a real-time example. Copyright © 2009, Inderscience Publishers. 2009 Citation Index Journal NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/138/1/paper.pdf P.D.D., Dominic and P., Parthiban and M., Punniyamoorthy and P., Mathiyalagan (2009) A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness. [Citation Index Journal] http://www.scopus.com/inward/record.url?eid=2-s2.0-70350704909&partnerID=40&md5=a9cd651ffa5a295a4282f19f6e943634 10.1504/IJENM.2009.029006 10.1504/IJENM.2009.029006 10.1504/IJENM.2009.029006 |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science P.D.D., Dominic P., Parthiban M., Punniyamoorthy P., Mathiyalagan A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness |
| title | A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness
|
| title_full | A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness
|
| title_fullStr | A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness
|
| title_full_unstemmed | A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness
|
| title_short | A hybrid decision model for the selection of capital equipment using AHP in conjoint analysis under fuzziness
|
| title_sort | hybrid decision model for the selection of capital equipment using ahp in conjoint analysis under fuzziness |
| topic | Q Science (General) QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/138/ http://scholars.utp.edu.my/id/eprint/138/ http://scholars.utp.edu.my/id/eprint/138/ http://scholars.utp.edu.my/id/eprint/138/1/paper.pdf |