Linguistic hedges in fuzzy logic

This slide presents about Linguistic Hedges in Fuzzy Logic

1. Linguistic Hedges in Fuzzy Logic
Course: Computational Intelligence Engineering (Soft Computing)
Prof. (Dr.) Pravat Kumar Rout
Department of EEE, ITER,
Siksha ‘O’ Anusandhan (Deemed to be University),
Bhubaneswar, Odisha, India
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2. Introduction to Linguistic Hedges
In thelinguisticsub-fields of appliedlinguisticsand pragmatics, ahedgeis a word
or phrase used in a sentence to express ambiguity, probability, or indecisiveness
about the remainder of the sentence, rather than full accuracy, certainty, or
decisiveness.
By alinguistic variablewe mean avariablewhose values are words or sentences
in a natural or artificial language. ... In particular, treating Truth as alinguistic
variablewith values such as true, very true, completely true, not very true, untrue,
etc., leads to what is calledfuzzy logic.
Ahedging strategyis a set of measures designed to minimise the risk of adverse
movements in the value of assets or liabilities.Hedging strategiesusually involve
taking an offsetting position for the related asset or liability. Currencyhedgingis
one of the most commonhedging strategies.
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Combiningthelinguistichedgeswiththefuzzyrulebasedsystems
emergesthefollowingadvantages:
1)itneedsonlythesimple-shapemembershipfunctionsratherthanthe
carefullydesignedonesforcharacterizingtherelatedvariables;
2)itissufficienttoadoptlessnumberofrulesforinference;
3)therulesaredevelopedintuitionallywithoutheavilydependingon
theendeavorofexperts.
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4. Linguistic Variables and other related
terminology
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5. Example: Linguistic Variables and Linguistic
Values
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7. 7 Concentration and Dilation of Linguistic
Values

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Concentration
Dilation Intensification

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13. Constructing MFs for Composite Linguistic
Terms
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16. Contrast Intensification 16

17. Contrast Intensifier 17

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19. Orthogonality 19

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