An Interval Valued Fuzzy Soft Set Based Optimization Algorithm for High Yielding Seed Selection

As seed selection is a challenging task due to the presence of hundreds of varieties of seeds of each kind, some homework is necessary for selecting suitable seeds as new varieties and kinds of seeds are introduced in the market every year having their own strengths and weaknesses. The complexities...

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Published inInternational journal of fuzzy system applications Vol. 7; no. 2; pp. 44 - 61
Main Authors Sooraj, T R, Tripathy, B K
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.04.2018
Subjects
Algorithms
Fuzzy sets
Mathematical optimization
Parameter uncertainty
Parameterization
Seeds
United Kingdom
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Abstract As seed selection is a challenging task due to the presence of hundreds of varieties of seeds of each kind, some homework is necessary for selecting suitable seeds as new varieties and kinds of seeds are introduced in the market every year having their own strengths and weaknesses. The complexities involved in the characteristics in the form of parameters results in uncertainties and as a result some uncertainty based model or hybrid models of more than is required to model the scenario and come out with a decision. Soft sets have enough of parameterization tools to support and hence is the most suitable one for such a study. However, as hybrid models are more efficient, the authors select a model called the interval valued fuzzy soft set (IVFSS) and propose a decision-making algorithm for the selection of seeds. A real database of seeds is used for experimental verification of the efficiency of the algorithm. This is the first attempt for such a study. The use of signed priorities and intervals for the membership of values for entities makes the study more efficient and realistic.
AbstractList As seed selection is a challenging task due to the presence of hundreds of varieties of seeds of each kind, some homework is necessary for selecting suitable seeds as new varieties and kinds of seeds are introduced in the market every year having their own strengths and weaknesses. The complexities involved in the characteristics in the form of parameters results in uncertainties and as a result some uncertainty based model or hybrid models of more than is required to model the scenario and come out with a decision. Soft sets have enough of parameterization tools to support and hence is the most suitable one for such a study. However, as hybrid models are more efficient, the authors select a model called the interval valued fuzzy soft set (IVFSS) and propose a decision-making algorithm for the selection of seeds. A real database of seeds is used for experimental verification of the efficiency of the algorithm. This is the first attempt for such a study. The use of signed priorities and intervals for the membership of values for entities makes the study more efficient and realistic.
Audience Academic
Author Sooraj, T R
Tripathy, B K
AuthorAffiliation School of Computer Science and Engineering, VIT University, Vellore, India
School of Computer Science and Engineering, VIT University, India
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Snippet As seed selection is a challenging task due to the presence of hundreds of varieties of seeds of each kind, some homework is necessary for selecting suitable...
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SubjectTerms Algorithms
Fuzzy sets
Mathematical optimization
Parameter uncertainty
Parameterization
Seeds
Title An Interval Valued Fuzzy Soft Set Based Optimization Algorithm for High Yielding Seed Selection
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