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Springer Possibility for Decision: Possibilistic Approach to Real Life Decisions

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Description

Possibility for Decision explores fuzzy sets and possibility distributions as practical tools for navigating complex real-world decision-making. This volume in the Studies in Fuzziness and Soft Computing series (270) combines normative theory with five tested applications: strategic decisions on production plant closure using fuzzy real options, portfolio selection with imprecise future data, predictive probabilities and risk assessment in grid computing, fuzzy ontologies for process industry, and mobile application design. Written by experts who have solved intricate problems in these domains, the book bridges abstract possibility theory and concrete business scenarios. Readers gain actionable frameworks for managing uncertainty in strategic planning, financial decisions, and technology implementation. The possibilistic approach offers an alternative to traditional probability methods when future data is incomplete or vague, making it invaluable for practitioners facing real-world ambiguity across industries.

Key Features

Possibility for Decision covers fuzzy sets fundamentals and their practical application to multiple criteria decision-making scenarios in business and technology.

The book presents five real-world applications of possibility distributions, including production plant closure decisions using fuzzy real options methodology.

Portfolio selection guidance using possibility distributions handles imprecise future financial data and uncertainty in investment planning.

Grid computing risk assessment techniques use predictive probabilities and possibilities to evaluate technology infrastructure reliability.

Fuzzy ontologies for process industry applications enable structured knowledge representation in manufacturing and operational environments.

This Studies in Fuzziness and Soft Computing volume (270) by Springer serves researchers, engineers, and decision-makers seeking alternatives to traditional probability-based approaches.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 July 2011
Listed Since
17 June 2011

Barcode

No barcode data available

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