Fuzzy Quantifiers

Name: Fuzzy Quantifiers
Brand: Springer Nature
SKU: 9783540325031
Availability: InStock

Best Price:
Buy Fuzzy Quantifiers for $129.00 at @ Link.springer.com
No coupon is required — this is the standard retail price.

Set a price drop alert to never miss an offer.

1 Offer Price Range: $129.00 - $129.00

BEST PRICE

Single Product Purchase

$129.00

@ Link.springer.com BUY Now

Price Comparison

Seller	Contact Seller	List Price	On Sale	Shipping	Best Promo	Final Price	Volume Discount	Financing	Availability	Seller's Page
BEST PRICE 1 Product Purchase @ Link.springer.com		$129.00	$129.00			$129.00		See Site	In stock	Visit Store

Product Details

Brand

Springer Nature

Manufacturer

N/A

Part Number

GTIN

9783540325031

Condition

New

Product Description

From a linguistic perspective, it is quanti?cation which makes all the di?- ence between having no dollars and having a lot of dollars. And it is the meaning of the quanti?er most which eventually decides if Most Ame- cans voted Kerry or Most Americans voted Bush (as it stands). Natural language(NL)quanti?erslikeall,almostall,manyetc. serveanimp- tant purpose because they permit us to speak about properties of collections, as opposed to describing speci?c individuals only; in technical terms, qu- ti?ers are a second-order construct. Thus the quantifying statement Most Americans voted Bush asserts that the set of voters of George W. Bush c- prisesthemajorityofAmericans,whileBushsneezesonlytellsussomething about a speci?c individual. By describing collections rather than individuals, quanti?ers extend the expressive power of natural languages far beyond that of propositional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like tall, and they frequently refer to fuzzy quantities in agreement like about ten, almost all, many etc. In order to exploit this expressive power and make fuzzy quanti?cation available to technical applications, a number of proposals have been made how to model fuzzy quanti?ers in the framework of fuzzy set theory. These approaches usually reduce fuzzy quanti?cation to a comparison of scalar or fuzzy cardinalities [197, 132].

Available Colors

N/A

Available Sizes

N/A