Application of integrated fuzzy-AHP for design evaluation in product development
The evaluation process of conceptual design alternatives in a new product development environment is a critical point for companies who operate in fast-growing markets. Various methods exist that are able to successfully carry out this difficult and time-consuming process. One of these methods, the...
à®®à¯à®´à¯ விளகà¯à®•à®®à¯
Saved in:
| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯: | |
|---|---|
| வடிவமà¯: | Undergraduates Project Papers |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2016
|
| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://iportal.ump.edu.my/lib/item?id=chamo:94286&theme=UMP2 http://iportal.ump.edu.my/lib/item?id=chamo:94286&theme=UMP2 http://umpir.ump.edu.my/13093/1/FKP%20-%20NURUL%20ARIFAH%20CHE%20ROPA%20-%20CD%208349.pdf http://umpir.ump.edu.my/13093/2/FKP%20-%20NURUL%20ARIFAH%20CHE%20ROPA%20-%20CD%208349%20-%20CHAP%201.pdf http://umpir.ump.edu.my/13093/3/FKP%20-%20NURUL%20ARIFAH%20CHE%20ROPA%20-%20CD%208349%20-%20CHAP%203.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯ இணை
கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯ இலà¯à®²à¯ˆ, இநà¯à®¤ கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯à®²à¯ˆ à®®à¯à®¤à®²à®¿à®²à¯ பதிவ௠செயà¯à®¯à¯à®™à¯à®•à®³à¯!
|
| தொகà¯à®ªà¯à®ªà¯: | The evaluation process of conceptual design alternatives in a new product development environment is a critical point for companies who operate in fast-growing markets. Various methods exist that are able to successfully carry out this difficult and time-consuming process. One of these methods, the Analytical Hierarchy Process (AHP) that been widely used to solve multiple-criteria decision making problems in both academic research and in
industrial practice. However, due to vagueness and uncertainty in the decision-maker’s judgment, pair-wise comparison with Integrated Fuzzy-AHP may be able to accurately capture the decision-maker’s judgment. Therefore, fuzzy is introduced into the pair-wise
comparison in the AHP to compensate for this deficiency in the integrated Fuzzy-AHP. This is referred to as integrated fuzzy-AHP. In this paper, a fuzzy-AHP method is used to reduce a set of conceptual design alternatives by eliminating those whose scores are smaller than a
predetermined constant value obtained under certain circumstances. Then, simulation analysis is integrated with the fuzzy-AHP method. Finally, the results of integrated fuzzy- AHP are used for Preference Ratio analysis to reach to the final alternative. |
|---|