Vendor selection problem is considered very complicated because a variety of unpredictable and uncontrollable factors affected the evaluation and decision making process. In this paper, a vendor selection problem (VSP) where the buyer allocates a quantity order for a commodity among a set of supplier to achieve the requirements of aggregate cost, service and lead time at the maximum equality is studied. One of the best inexact intervals, namely an inexact rough interval of normalized heptagonal fuzzy numbers is proposed. An inexact rough interval of normalized heptagonal fuzzy numbers for solving VSP without converting it into a deterministic (crisp) problem is developed. An inexact rough interval for parameters represents its dual uncertainty. A solution method for solving HFNVSP is introduced. In the end, an example is solved to clarify the proposed method.
Digital Object Identifier (DOI)
Abd El-Wahed Khalifa, Hamiden; Kumar, Pavan; and Ali Hassan, Bayoumi
"An Inexact Rough Interval of Normalized Heptagonal Fuzzy Numbers for Solving Vendor Selection Problem,"
Applied Mathematics & Information Sciences: Vol. 15
, Article 9.
Available at: https://dc.naturalspublishing.com/amis/vol15/iss3/9