Recently Viewed

New

Fuzzy Cognitive Maps: Best Practices and Modern Methods by Philippe J. Giabbanelli 9783031489624

No reviews yet Write a Review
RRP: £129.99
Booksplease Price: £106.32
Booksplease saves you

  Bookmarks: Included free with every order
  Delivery: We ship to over 200 countries from the UK
  Range: Millions of books available
  Reviews: Booksplease rated "Excellent" on Trustpilot

  FREE UK DELIVERY: When You Buy 3 or More Books - Use code: FREEUKDELIVERY in your cart!

SKU:
9783031489624
MPN:
9783031489624
Available from Booksplease!
Availability: Usually dispatched within 4 working days

Frequently Bought Together:

Total: Inc. VAT
Total: Ex. VAT

Description

This book starts with the rationale for creating an FCM by contrast to other techniques for participatory modeling, as this rationale is a key element to justify the adoption of techniques in a research paper. Fuzzy cognitive mapping is an active research field with over 20,000 publications devoted to externalizing the qualitative perspectives or “mental models” of individuals and groups. Since the emergence of fuzzy cognitive maps (FCMs) back in the 80s, new algorithms have been developed to reduce bias, facilitate the externalization process, or efficiently utilize quantitative data via machine learning. It covers the development of an FCM with participants through a traditional in-person setting, drawing from the experience of practitioners and highlighting solutions to commonly encountered challenges. The book continues with introducing principles of simulations with FCMs as a tool to perform what-if scenario analysis, while extending those principles to more elaborated simulation scenarios where FCMs and agent-based modeling are combined. Once an FCM model is obtained, the book then details the analytical tools available for practitioners (e.g., to identify the most important factors) and provides examples to aid in the interpretation of results. The discussion concerning relevant extensions is equally pertinent, which are devoted to increasing the expressiveness of the FCM formalism in problems involving uncertainty. The last four chapters focus on building FCM models from historical data. These models are typically needed when facing multi-output prediction or pattern classification problems. In that regard, the book smoothly guides the reader from simple approaches to more elaborated algorithms, symbolizing the noticeable progress of this field in the last 35 years. Problems, recent references, and functional codes are included in each chapter to provide practice and support further learning from practitioners and researchers.



Book Information
ISBN 9783031489624
Author Philippe J. Giabbanelli
Format Hardback
Page Count 219
Imprint Springer International Publishing AG
Publisher Springer International Publishing AG

Reviews

No reviews yet Write a Review

Booksplease  Reviews


J - United Kingdom

Fast and efficient way to choose and receive books

This is my second experience using Booksplease. Both orders dealt with very quickly and despatched. Now waiting for my next read to drop through the letterbox.

J - United Kingdom

T - United States

Will definitely use again!

Great experience and I have zero concerns. They communicated through the shipping process and if there was any hiccups in it, they let me know. Books arrived in perfect condition as well as being fairly priced. 10/10 recommend. I will definitely shop here again!

T - United States

R - Spain

The shipping was just superior

The shipping was just superior; not even one of the books was in contact with the shipping box -anywhere-, not even a corner or the bottom, so all the books arrived in perfect condition. The international shipping took around 2 weeks, so pretty great too.

R - Spain

J - United Kingdom

Found a hard to get book…

Finding a hard to get book on Booksplease and with it not being an over inflated price was great. Ordering was really easy with updates on despatch. The book was packaged well and in great condition. I will certainly use them again.

J - United Kingdom