Title: A job-sequencing problem using modified score function in PNN environment

Authors: Avishek Chakraborty

Addresses: Department of Basic Science, Narula Institute of Technology, Kolkata – 700001, WB, India

Abstract: Pentagonal neutrosophic number (PNN) is an extension of general established triangular and trapezoidal neutrosophic number. In this article, the structural form of PNN has been applied on operational research-based job-sequence problems. Here, we mainly focused on the modified score and accuracy function of PNN and its application in different perspectives. Further, a job-sequencing model has been developed in PNN environment and resolved it using the modified score function and lastly, compared it with established score function of PNN. This novel thought will help the researchers to do further expansion of PNN in upcoming days.

Keywords: pentagonal neutrosophic number; PNN; score and accuracy function; job-sequencing problem.

DOI: 10.1504/IJHI.2021.10040151

International Journal of Hybrid Intelligence, 2021 Vol.2 No.1, pp.67 - 78

Received: 20 Apr 2020
Accepted: 18 Sep 2020

Published online: 26 Sep 2021 *

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