Selection of Combat Aircraft by Using Shannon Entropy and VIKOR Method

Author:

Dwivedi Pankaj PrasadORCID,Sharma Dilip KumarORCID

Abstract

The selection of military defense equipment, especially fighter aircraft, has a bearing on the readiness ofthe Indian Air Force to defend the country’s independence. This study analyses a collection of alternative fighteraircraft that are linked to several choice factors using a multiple-criterion decision-making analysis technique. Tohandle such scenarios and make wise design judgements, a variety of criterion decision analysis techniques can beused. In this study, we assess fifth-generation fighter aircraft that incorporate significant 21st-century technologicaladvancements. These aircraft represent the state-of-the-art in fleet planning operations to 2022. These are generallyequipped with quick-moving airframes, highly integrated computer systems, superior avionics features, networkingwith other battlefield elements, situational awareness, command, control, and other communication capabilities.The study proposes a strategy for the selection of the fifth-generation combat aircraft for the National Air Force.Because of the problems, the Army needed an application that could assist with decision-making for combat selection systems. Solving the decision problem for evaluating fifteen military fighter alternatives in terms of nine decision criteria is the main objective of this work. We use the Shannon entropy and VIKOR model for the Air Force’s fleet program to evaluate military fighter aircraft suitability. The entropy technique is used to compute the weight of the criteria, and then the VIKOR technique has been used to rank the fighter aircraft.

Publisher

Defence Scientific Information and Documentation Centre

Subject

Electrical and Electronic Engineering,Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Biomedical Engineering,General Chemical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning-Powered Intrusion Detection Systems Networks Using LSTM;Advances in Computer and Electrical Engineering;2024-08-30

2. Applications of Artificial Intelligence and Robots in Service Industries;Advances in Computer and Electrical Engineering;2024-08-30

3. Convolution Neural Network-Based Efficient Development of Intrusion Detection Using Various Deep Learning Approaches;Advances in Computational Intelligence and Robotics;2024-05-20

4. A study for an Optimization of Cutting Fluids in Machining Operations by TOPSIS and Shannon Entropy Methods;WSEAS TRANSACTIONS ON FLUID MECHANICS;2024-02-29

5. Application of the PSI-CoCoSo Method for the Selection of an Aircraft for Aeromedical Rescue in an Offshore Company;2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI);2024-01-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3