Metaprzymiotnikowe linguistic hedges 'istny', 'prawdziwy', 'swoisty' – kilka uwag o ich statusie semantyczno-składniowym

Meta-adjectival Linguistic Hedges istny, prawdziwy, swoisty. Some Remarks on their Semantic-syntactic StatusThe paper presents selected semantic and syntactic features of lexemes istny ‘veritable’, prawdziwy 2‘true’, and swoisty 2 ‘specific’ (the last one has not been distinguished in lexicographic works so far).They are the Polish equivalents of those phrases which G. Lakoff includes in the class of linguistic hedges. Their function is not to distill vs obfuscate the meanings of words which they accompany in an utterance, but rather to signal the presence of the speaker and his or her choice of the appropriate predicate Y for a statement about X (about what I am talking about). The discussed phrases weaken the strength of an assertoric “statement that” because their meaning contains the component ‘X is not Y, it is only similar to it’. Dubbed unadjectival adjectives by M. Danielewiczowa, these units combine the formal features of both ordinary adjectives and metapredicative phrases, assuring them a unique place in the linguistic system.

Hedge Algebras: An Algebraic Approach to Domains of Linguistic Variables and Their Applicability

The paper is an overview on an algebraic approach to domains of linguistic variables and somefirst applications to show the applicability of this new approach. In this approach, each linguistic domain can be considered as a hedge algebra (HA for short) and based on the structure of HAs,a notion of fuzziness measure of linguistic hedges and terms can be defined. In order to apply hedge algebras to those problems, the results of which are needed, a notion of semantically quantifying mappings (SQMs) will be introduced. It shown that there is a closed connection between SQMs and fuzziness measure of hedge and primary terms (the generators of linguistic domains). To show the applicability of this approach, new met hods to solve a Fuzzy Multiple Conditional Reasoning problem, the problem of Balancing an Inverted Pendulum will be presented.

APPLICATION OF HEDGE ALGEBRAS FOR CONTROLLING MECHANISMS OF RELATIVE MANIPULATION

This paper presents a method for controlling mechanism of relative manipulation (MRM robot), that based on an algebraic approach to linguistic hedges in fuzzy logic. The proposed model of MRM robot is introduced as two component mechanisms, collaborating to realize technological manipulations. MRM robot has complex structure [1, [2]; therefore, robot system's mathematical equations describing dynamical behaviors are complicated and voluminous [3,[4, 5]. Furthermore, the components affect MRM robot's dynamics that are difficult to determine adequately and exactly. Applying the well-known methods (based on dynamical equations) such as PD/PID, computed torque algorithm...for robot control is difficult, especially with MRM robot. By dint of the human-like inference mechanism, designing controller thanks to fuzzy logic can overcome the mentioned drawbacks [6]. However, the linguistic variables in fuzzy logic are not represented by any physical values; and hence, the comparison between the linguistic variables is unable. Moreover, composition of fuzzy relations, defuzzification use approximation function which can trigger error in data process. Hedge Algebras(HA) gives favorable conditions to restrict fuzzy logic's drawbacks because the linguistic labels in Hedge Algebras are represented by semantic values; and, composition of fuzzy relations and defuzzification are processed by simple interpolation and mapping functions. The obtained results from HA controller are compared to the obtained results from two methods which are presented in [6] (fuzzy controller and computed torque controller). Keywords: mechanism of relative manipulation (MRM robot), hedge algebras.