ISBN: 9783540899150

In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in a… More...

In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise and uncertain environment, it will be utmost unrealistic to assume that the knowledge and representation of an expert can come in a precise way. The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness are 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 the problem situation. We use interval numbers to specify inexact or imprecise or uncertain 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 the decision problem? The present research work consists of two closely related fields: approaches towards defining a generalized preference ordering scheme for interval attributes and approaches to deal with some issues having application potential in many areas of decision making. eBooks > Fremdsprachige eBooks > Englische eBooks > Sach- & Fachthemen > Technik; eBooks > Fremdsprachige eBooks > Englische eBooks > Sach- & Fachthemen > Informatik; eBooks > Fachbücher > Ingenieurwissenschaften; eBooks > Fachbücher > Informatik; eBooks , Springer, PDF, Springer<

ISBN: 9783540899150

In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in a… More...

In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise and uncertain environment, it will be utmost unrealistic to assume that the knowledge and representation of an expert can come in a precise way. The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness are 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 the problem situation. We use interval numbers to specify inexact or imprecise or uncertain 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 the decision problem? The present research work consists of two closely related fields: approaches towards defining a generalized preference ordering scheme for interval attributes and approaches to deal with some issues having application potential in many areas of decision making.; PDF; Scientific, Technical and Medical > Mathematics > Applied mathematics, Springer Berlin Heidelberg<

2009, ISBN: 9783540899150

eBooks, eBook Download (PDF), 2009, In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathemat… More...

eBooks, eBook Download (PDF), 2009, In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise and uncertain environment, it will be utmost unrealistic to assume that the knowledge and representation of an expert can come in a precise way. The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness are 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 the problem situation. We use interval numbers to specify inexact or imprecise or uncertain 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 the decision problem? The present research work consists of two closely related fields: approaches towards defining a generalized preference ordering scheme for interval attributes and approaches to deal with some issues having application potential in many areas of decision making. [PU: Springer Berlin], Seiten: 166, Springer Berlin, 2009<

ISBN: 9783540899150

Fuzzy Preference Ordering of Interval Numbers in Decision Problems ab 128.49 € als pdf eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik, Medien > Bücher, Fuzzy Preference … More...

Fuzzy Preference Ordering of Interval Numbers in Decision Problems ab 128.49 € als pdf eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik, Medien > Bücher, Fuzzy Preference Ordering of Interval Numbers in Decision Problems - eBook als pdf von Atanu Sengupta/ Tapan Kumar Pal - Springer-Verlag GmbH - 97...<

2009, ISBN: 9783540899150

eBooks, eBook Download (PDF), 2009, [PU: Springer Berlin], Springer Berlin, 2009