Fuzzy rule interpolation for multidimensional input spaces with applications: a case study
Fuzzy rule based systems have been very popular in many engineering applications. However, when generating fuzzy rules from the available information, this may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered in processin...
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| Veröffentlicht in: | IEEE transactions on fuzzy systems 2005-12, Vol.13 (6), p.809-819 |
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| container_title | IEEE transactions on fuzzy systems |
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| creator | Kok Wai Wong Tikk, D. Gedeon, T.D. Koczy, L.T. |
| description | Fuzzy rule based systems have been very popular in many engineering applications. However, when generating fuzzy rules from the available information, this may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered in processing sparse fuzzy rule bases. In most engineering applications, the use of more than one input variable is common, however, the majority of the fuzzy rule interpolation techniques only present detailed analysis to one input variable case. This paper investigates characteristics of two selected fuzzy rule interpolation techniques for multidimensional input spaces and proposes an improved fuzzy rule interpolation technique to handle multidimensional input spaces. The three methods are compared by means of application examples in the field of petroleum engineering and mineral processing. The results show that the proposed fuzzy rule interpolation technique for multidimensional input spaces can be used in engineering applications. |
| doi_str_mv | 10.1109/TFUZZ.2005.859316 |
| format | Article |
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However, when generating fuzzy rules from the available information, this may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered in processing sparse fuzzy rule bases. In most engineering applications, the use of more than one input variable is common, however, the majority of the fuzzy rule interpolation techniques only present detailed analysis to one input variable case. This paper investigates characteristics of two selected fuzzy rule interpolation techniques for multidimensional input spaces and proposes an improved fuzzy rule interpolation technique to handle multidimensional input spaces. The three methods are compared by means of application examples in the field of petroleum engineering and mineral processing. The results show that the proposed fuzzy rule interpolation technique for multidimensional input spaces can be used in engineering applications.</description><subject>Computer aided software engineering</subject><subject>Fuzzy control</subject><subject>Fuzzy reasoning</subject><subject>Fuzzy rule interpolation</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Information technology</subject><subject>Input variables</subject><subject>Interpolation</subject><subject>multidimensional input spaces</subject><subject>Multidimensional systems</subject><subject>sparse fuzzy rules</subject><subject>Systems engineering and theory</subject><issn>1063-6706</issn><issn>1941-0034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1Lw0AQhoMoWKs_QLwsHrylzuwmm6w3KVaFgpf20suySSe4JV_uJkj7600bQfA0L8PzDswTBLcIM0RQj6vFerOZcYB4lsZKoDwLJqgiDAFEdD5kkCKUCcjL4Mr7HQBGMaaTYLPoD4c9c31JzNYdubYpTWebmhWNY1VfdnZrK6r9sDLlgLR9x3xrcvLs23afzLRtafNTxT8xw3Ljifmu3-6vg4vClJ5ufuc0WC9eVvO3cPnx-j5_Xoa54KILeZZSAdxIxFwKStEIUUCWQpLkaSKiAgWnWEUQUZaorMBExkACkEMmIsXFNHgY77au-erJd7qyPqeyNDU1vdc8BQ5c4QDe_wN3Te-Gt7xWRyLiiRogHKHcNd47KnTrbGXcXiPoo2p9Uq2PqvWoeujcjR1LRH98HMs4leIHwFZ6pw</recordid><startdate>200512</startdate><enddate>200512</enddate><creator>Kok Wai Wong</creator><creator>Tikk, D.</creator><creator>Gedeon, T.D.</creator><creator>Koczy, L.T.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Computer aided software engineering Fuzzy control Fuzzy reasoning Fuzzy rule interpolation Fuzzy sets Fuzzy systems Information technology Input variables Interpolation multidimensional input spaces Multidimensional systems sparse fuzzy rules Systems engineering and theory |
| title | Fuzzy rule interpolation for multidimensional input spaces with applications: a case study |
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