Fuzzy preference ordering of interval numbers in decision problems

The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness is mainly generated in two ways – (1) due to imprecise perception and knowledge of the human expert followed by vague representation of knowledge as a DM; (2) due to huge-ness and complexity of relations and data structure in the definition of theproblem situation. We use interval numbers to specify inexact or imprecise oruncertain data. Consequently, the study of a decision problem requires answering the following initial questions: How should we compare and define preference ordering between two intervals?, interpret and deal inequality relations involving interval coefficients?, interpret and make way towards the goal of thedecision problem? Studies real decision situations where problems are definedin inexact environment Presents recent research in Fuzzy Preference Ordering of Interval Numbers and Modelling of Interval Decision Problems INDICE: Introduction.- On Comparing Interval Numbers: A Study on Existing Ideas.- Acceptability Index and Interval Linear Programming.- Fuzzy Preferenceordering of Intervals.- Solving the Shortest Path Problem with Interval Arcs.- Travelling Salesman problem with Interval Cost Constraints.- Interval Transportation Problem with Multiple Penalty Factors.- Fuzzy Preference based TOPSISfor Inrerval multi-criteria Decision Making.- Concluding Remarks and the Future Scope.

• ISBN: 978-3-540-89914-3
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 165
• Fecha Publicación: 01/01/2009
• Nº Volúmenes: 1
• Idioma: Inglés