Soft Computing Methodologies for Bankruptcy Prediction

Zusatztext

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.

Autorenportrait

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.

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