
Monotonicity is a major property of entropy measures. In this paper, we focus on entropy measures for intuitionistic fuzzy sets and interval-valued fuzzy sets. We consider their polar representation which provides an easy interpretation of monotonicity for several entropy measures introduced in the literature. Moreover, this polar representation enables us to propose two new kinds of monotonicity for such entropies, that offer a more understandable way to explain differences of entropies. Classical measures of entropy for intuitionistic fuzzy sets are compared with regard to these new forms of monotonicity.
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Monotonicity, Polar representation, Entropy, Information measure, Intuionistic fuzzy sets, Interval-valued fuzzy sets
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Monotonicity, Polar representation, Entropy, Information measure, Intuionistic fuzzy sets, Interval-valued fuzzy sets
| 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). | 1 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
