
This paper proposes a fuzzy functional inference method in which the consequent parts of the T-S inference method is generalized to fuzzy functions. Moreover, this paper addresses equivalence of the proposed fuzzy inference method. Namely, the fuzzy functional inference method is shown to be equivalent to the weighted T-S inference method whose consequent parts have weights, by adopting as the weight the area or the base length of fuzzy set obtained from the fuzzy function in the consequent part.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
