|Author||Tamura, N. ♦ Horiuchi, K.|
|Source||IEEE Xplore Digital Library|
|Publisher||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Special computer methods|
|Subject Keyword||Fuzzy sets ♦ Fuzzy systems ♦ Systems engineering and theory ♦ Mathematics ♦ Computer science education ♦ Systems engineering education ♦ Vectors ♦ Ear ♦ Regression analysis ♦ Linear programming|
|Abstract||A fuzzy (real) number is usually defined as a normal convex and upper semicontinuous fuzzy set on R. However, the conventional fuzzy numbers do not fulfil some useful algebraic properties, such as axioms for a group. The authors introduce a new fuzzy number system called VSOP (vector set of ordered pairs). VSOP is a natural extension of the conventional fuzzy number, and satisfies the axioms for a ring. Fuzzy comparison relations on VSOP are also introduced. VSOP can be usefully applied to various fuzzy systems, such as fuzzy linear regression analysis, fuzzy linear programming, etc.<<ETX>>|
|Description||Author affiliation: Dept. of Comput. & Syst. Eng., Kobe Univ., Japan (Tamura, N.)|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Educational Use||Research ♦ Reading|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Rights Holder||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Size (in Bytes)||433.59 kB|
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