Vendor Selection Methodology Based on Multi Criteria Decision Making | Zendy

Pratesh Jayaswal | Zendy; Manoj Kumar Trivedi | Zendy; Lalit Kumar | Zendy

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Vendor Selection Methodology Based on Multi Criteria Decision Making

Author(s) -

Pratesh Jayaswal,

Manoj Kumar Trivedi,

Lalit Kumar

Publication year - 2010

Publication title -

interscience management review

Language(s) - English

Resource type - Journals

ISSN - 2231-1513

DOI - 10.47893/imr.2010.1043

Subject(s) - vendor , vagueness , selection (genetic algorithm) , computer science , set (abstract data type) , fuzzy logic , fuzzy set , operations research , artificial intelligence , engineering , business , marketing , programming language

Many analytical models have been developed for addressing the Vender selection for companies. There are a list of vendor for selecting materials. It is very difficult to select a genuine vendor. Since the selection of a vendor is influenced by several parameters which are in linguistic. Form also, therefore to quantity the linguistic variables fuzzy logic and set theory is used. The fuzzy set theory helps in vagueness of the system a fuzzy decision approach is developed where are resourcing of vendors to select suitable vendor for materials is made.

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