The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand

2010 ◽  
Vol 128 (1) ◽  
pp. 136-143 ◽  
Author(s):  
Josefa Mula ◽  
David Peidro ◽  
Raul Poler
Keyword(s):  
Supply Chain ◽  
Mathematical Programming ◽  
Production Planning ◽  
Programming Approach ◽  
Fuzzy Mathematical Programming ◽  
Mathematical Programming Approach ◽  
Fuzzy Demand

Multiple Trait Selection and Classification of Genotype — A Data Mining Approach

2003 ◽  
Vol 02 (03) ◽  
pp. 445-457 ◽  
Author(s):  
Chien-Hsiung Lin ◽  
Yi-Hsin Liu
Keyword(s):  
Data Mining ◽  
Mathematical Programming ◽  
Programming Approach ◽  
Fuzzy Mathematical Programming ◽  
Real Numbers ◽  
Multiple Trait ◽  
Data Mining Approach ◽  
Mathematical Programming Approach ◽  
Genotype A

A set of data represented by a set of real numbers can be handled by the computer much easier than non-real valued data. This paper develops bicriteria linear program solution through a fuzzy mathematical programming approach which assigns a real number to each member of the data. This method integrates data information and the decision maker's objective opinion to construct a tool (function) of selection and classification.

scholarly journals Fuzzy linear mathematical programming in agriculture

BIBECHANA ◽  
2015 ◽  
Vol 13 ◽  
pp. 72-76
Author(s):  
MA Lone ◽  
MS Puktha ◽  
SA Mir
Keyword(s):  
Decision Making ◽  
Mathematical Programming ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Optimal Solution ◽  
Fuzzy Linear Programming ◽  
Programming Approach ◽  
Fuzzy Mathematical Programming ◽  
Mathematical Programming Approach ◽  
Land Cultivation

In this paper we present a Fuzzy linear Mathematical programming approach for optimal allocation of land under cultivation. Fuzzy Mathematical programming approach is more realistic and flexible optimal solution for the agricultural land cultivation problem. In this study we have discussed how to deal with decision making problems that are described by Fuzzy linear programming (Flp) models and formulated with the elements of uncertainty. This form of approximation can be convenient and sufficient for making good decisions. BIBECHANA 13 (2016) 72-76

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