Imposing restrictions on density functions utilised in computing with words

• Autorzy: Marcus Gemeinder
• Języki publikacji: EN

Abstrakty

EN

Applying the generalised extension principle within the area of Computing with Words typically leads to complex maximisation problems. If distributed quantities-such as, e.g., size distributions within human populations-are considered, density functions representing these distributions become involved. Very often the optimising density functions do not resemble those found in nature; for instance, an optimising density function could consist of two single Dirac pulses positioned near the opposite bounds of the interval limiting the possible values of the quantity considered. Therefore, in this article, density functions with certain shapes which enable us to overcome this lack of resemblance are considered. Furthermore, some considerations on solving the resulting maximisation problems are reported.

Słowa kluczowe

EN

approximate reasoning; computing with words; resemblance; generalised extension principle

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2002
• Tom: 12
• Numer: 3
• Strony: 383-390

Daty

wydano

2002

otrzymano

2002-03-01

poprawiono

2002-06-01

Twórcy

autor

Marcus Gemeinder

• Faculty of Electrical Engineering, Chair of Computer Engineering, Fernuniversität Hagen, 58084 Hagen, Germany

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