9783330038813 - KANTOORKALENDERS WKSCHUIFKLNDR 07 810556: Linear Fractional Programming Problems and Multi-objective Linear Fractional Programming Problems in Fuzzy Environment di ... (7 risultati)

Taschenbuch. Condizione: Neu. Linear Fractional Programming Problems With Fuzzy Approach | Linear Fractional Programming Problems and Multi-objective Linear Fractional Programming Problems in Fuzzy Environment | Moumita Deb | Taschenbuch | 132 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330038813 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Condizione: Brand New. 01 edition. 132 pages. 8.66x5.91x0.30 inches. In Stock.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sometimes optimization of two linear objectives in ratio form gives better results than optimizing those separately. In various optimization problems from engineering, economics, management, optimization of ratio criteria gives more insight and better result than optimization of each criteria. In this present work, it is an attempt to study linear fractional programming (LFP) problem by single objective optimization problem in fuzzy environment where we have employed triangular fuzzy number and trapezoidal fuzzy number as a tool to study LFP in fuzzy environment. In our next approach, we mainly try to explore the ideas of multiobjective linear fractional programming (MOLFP) problem and multiobjective stochastic linear fractional programming (MOSLFP) problem with fuzzy set theoretic approach. There is ample scope for development in this field in different directions and we hope that exploration of the single objective can give new way of solutions to many optimization related problems arising in science and technology. 132 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Deb MoumitaReceivedB.Sc. (Mathematics) G.C.College, Silchar in 1996,M.Sc. (Mathematics) Assam University, Silchar in 1999, B.Ed., T.T. College, Silchar in 2000 andPh.D. in Mathematics, National Institute of Technology Silchar inMay.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Sometimes optimization of two linear objectives in ratio form gives better results than optimizing those separately. In various optimization problems from engineering, economics, management, optimization of ratio criteria gives more insight and better result than optimization of each criteria. In this present work, it is an attempt to study linear fractional programming (LFP) problem by single objective optimization problem in fuzzy environment where we have employed triangular fuzzy number and trapezoidal fuzzy number as a tool to study LFP in fuzzy environment. In our next approach, we mainly try to explore the ideas of multiobjective linear fractional programming (MOLFP) problem and multiobjective stochastic linear fractional programming (MOSLFP) problem with fuzzy set theoretic approach. There is ample scope for development in this field in different directions and we hope that exploration of the single objective can give new way of solutions to many optimization related problems arising in science and technology.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sometimes optimization of two linear objectives in ratio form gives better results than optimizing those separately. In various optimization problems from engineering, economics, management, optimization of ratio criteria gives more insight and better result than optimization of each criteria. In this present work, it is an attempt to study linear fractional programming (LFP) problem by single objective optimization problem in fuzzy environment where we have employed triangular fuzzy number and trapezoidal fuzzy number as a tool to study LFP in fuzzy environment. In our next approach, we mainly try to explore the ideas of multiobjective linear fractional programming (MOLFP) problem and multiobjective stochastic linear fractional programming (MOSLFP) problem with fuzzy set theoretic approach. There is ample scope for development in this field in different directions and we hope that exploration of the single objective can give new way of solutions to many optimization related problems arising in science and technology.