Construction of benchmarking models using fuzzy linear regression techniques
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 |
| Pages | 555-559 |
| Publication status | Published - 2012 |
Conference
| Title | 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 |
|---|---|
| Place | China |
| City | Chongqing |
| Period | 29 - 31 May 2012 |
Link(s)
Abstract
By applying fuzzy linear regression analysis with standardized input data, benchmarking model and the corresponding table can be built with normalized the center component. End users can use the benchmarking table to check their performance. An illustrative example is given. © 2012 IEEE.
Research Area(s)
- benchmarking, fuzzy regression
Citation Format(s)
Construction of benchmarking models using fuzzy linear regression techniques. / Chung, William.
Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012. 2012. p. 555-559 6233784.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
