Articles liés à Soft Computing Methodologies for Bankruptcy Prediction

Soft Computing Methodologies for Bankruptcy Prediction - Couverture souple

Arora, Nidhi

 
9783330039131: Soft Computing Methodologies for Bankruptcy Prediction
Couverture souple
ISBN 10 : 3330039132 ISBN 13 : 9783330039131
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

Prediction plays a critical role in business which works by considering past events to know in advance some future events. Predicting future events can give valuable contributions to a business. A reasonable prediction can guide business leaders to analyze the loopholes in their current procedures and plan for better ones. Bankruptcy is one of the crucial problems faced by many businesses. If such situation can be predicted long before it takes place, lot of computational effort can be saved. Soft computing methods have capability to deal with uncertain environment which is common in most of the businesses. To effectively exploit the tolerance for imprecision and uncertainty, Soft computing uses human mind as a role model by aiming at formalizing the cognitive processes humans employ in routine activities. Hence, Soft computing methods have been discussed in this book for bankruptcy prediction considering the possible factors and the inherent uncertainty. Business leaders need to think about dealing with uncertainty in their business models by proper utilization of these methodologies instead of abandoning all the existing methods at once for achieving the good work.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Prediction plays a critical role in business which works by considering past events to know in advance some future events. Predicting future events can give valuable contributions to a business. A reasonable prediction can guide business leaders to analyze the loopholes in their current procedures and plan for better ones. Bankruptcy is one of the crucial problems faced by many businesses. If such situation can be predicted long before it takes place, lot of computational effort can be saved. Soft computing methods have capability to deal with uncertain environment which is common in most of the businesses. To effectively exploit the tolerance for imprecision and uncertainty, Soft computing uses human mind as a role model by aiming at formalizing the cognitive processes humans employ in routine activities. Hence, Soft computing methods have been discussed in this book for bankruptcy prediction considering the possible factors and the inherent uncertainty. Business leaders need to think about dealing with uncertainty in their business models by proper utilization of these methodologies instead of abandoning all the existing methods at once for achieving the good work.

Biographie de l'auteur

Nidhi Arora is an academician and researcher. She has published more than 35 papers in National and International Journals and Conferences held across the world. Her work also appears in IEEE Xplore and Springer Verlag Journal in the area of Soft computing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
3330039132
ISBN 13 
9783330039131
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
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