menu
{ "item_title" : "A Methodology for Uncertainty in Knowledge-Based Systems", "item_author" : [" Kurt Weichselberger", "Sigrid Pöhlmann "], "item_description" : "The superiority of consequent probabilistic methods for handling and combining uncertainty in expert systems, compared with well known rules like the Dempster-Shafer rule or the MYCIN rule, is demonstrated, even in the case of interval valued probability estimates.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/54/052/336/3540523367_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
A Methodology for Uncertainty in Knowledge-Based Systems|Kurt Weichselberger

A Methodology for Uncertainty in Knowledge-Based Systems

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

The superiority of consequent probabilistic methods for handling and combining uncertainty in expert systems, compared with well known rules like the Dempster-Shafer rule or the MYCIN rule, is demonstrated, even in the case of interval valued probability estimates.

This item is Non-Returnable

Details

  • ISBN-13: 9783540523369
  • ISBN-10: 3540523367
  • Publisher: Springer
  • Publish Date: March 1990
  • Dimensions: 9.21 x 6.14 x 0.32 inches
  • Shipping Weight: 0.48 pounds
  • Page Count: 310

Related Categories

You May Also Like...

    1

BAM Customer Reviews