In the paper, we shall examine the fuzziness measure (FM) of terms or of complete and
linear hedge algebras of a linguistic variable. The notion of semantically quantifying …

Clustering is an unsupervised machine learning technique with many practical applications
that has gathered extensive research interest. Aside from deterministic or probabilistic …

An active type of upgraded tuned liquid column damper (AUTLCD) based on hedge-
algebras (HA) theory is proposed to mitigate structural vibrations of seismic-excited …

The paper addresses the mathematical modelling of domains of linguistic variables, ie term-
sets of linguistic variables, in order to obtain a suitable algebraic structure for the set of truth …

This study aims to investigate a general optimization procedure of the Hedge-algebras
controller (HAC) for controlling dynamic systems. Based on the analysis of factors affecting …

The determination of fuzzy information granules including the estimation of their
membership functions play a significant role in fuzzy system design as well as in the design …

A fuzzy-set-based approach is presented to describe linguistic information in multi-criteria
decision making. After having introduced concepts of determinacy and consistency of …

This study investigates a multi-objective optimal solution for active Hedge-algebras-based
control of building structures subjected to earthquakes. The stability condition of the system …

This paper proposes a model for the parametric representation of linguistic hedges in
Zadeh's fuzzy logic. In this model each linguistic truth-value, which is generated from a …

In previous papers, we introduced a new reasoning method based on quantifying linguistic
domains, established a new fuzzy control algorithm, called hedge-algebras-based controller …