- Home
- Computers
- Image Processing
- Soft Computing and Machine Learning (A Fuzzy and Neutrosophic View of Reality)
Soft Computing and Machine Learning (A Fuzzy and Neutrosophic View of Reality)
List Price:
$86.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Mohd Anas Wajid, Aasim Zafar, Mohammad Saif Wajid, Akib Mohi Ud Din Khanday, Pronaya Bhattacharya
Format:
Paperback
Pages:
322
Publisher:
CRC Press (July 19, 2026)
Imprint:
CRC Press
Language:
English
Audience:
College/higher education
ISBN-13:
9781032997957
Weight:
21.25oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260825152059801-20260825.xml
Folder:
TAYLORFRANCIS
List Price:
$86.99
Country of Origin:
United States
Pub Discount:
30
Series:
Computational Methods for Industrial Applications
As low as:
$82.64
Publisher Identifier:
P-CRC
Discount Code:
H
Overview
This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data.
