Name
Abstract | ||
|---|---|---|
In some cases, the specification limits of a quality characteristic should be defined under uncertain information. In the literature, process capability analyses have been handled by using type-1 fuzzy sets under fuzziness up to now. In this paper, we develop the concept of type-2 fuzzy quality and use it in the calculation of process capability. Lower and upper specification limits are considered as type-2 fuzzy sets. We define the addition and subtraction operations for introducing interval type-2 fuzzy process capability indices. We can calculate the nonconforming percentage of the production using the developed equations. We present some numerical examples to show the applicability of the proposed equations. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.2991/ijcis.2017.10.1.48 | INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS |
Keywords | Field | DocType |
process capability, fuzzy quality, interval type-2 fuzzy sets, specification limits | Process capability,Data mining,Neuro-fuzzy,Mathematical optimization,Fuzzy classification,Defuzzification,Fuzzy set operations,Algorithm,Fuzzy set,Fuzzy number,Membership function,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 1 | 1875-6891 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Parchami | 1 | 56 | 5.22 |
| Sezi Çevik Onar | 2 | 145 | 19.67 |
| Başar Öztayşi | 3 | 251 | 27.56 |
| Cengiz Kahraman | 4 | 2056 | 160.11 |