Drone selection using multi-criteria decision-making methods
Abstract
Multi-criteria decision making (MCDM) is the method of making accurate decision among many available criteria. It is a scientific method of making decisions. The decisions made by using MCDM are very accurate. MCDM steps have been divided into decision structuring, criteria specification, alternative performance measurement, alternative scoring, and criteria weight. There are many methods available for MCDM. In this study many direct and indirect methods of MCDM have been studied. Analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) have been found very powerful methods for MCDM. AHP and TOPSIS methods have been compared in this study after using their application formulas. COPRAS method application has also been discussed in this study. After comparing these methods, it was found that the TOPSIS method was ideal to be applied because of its vast applications. TOPSIS method has been found a better and easy method to apply for decision making. TOPSIS method steps including formulas have been presented. The TOPSIS method has been applied at the drones available in the market at desired cost. The formulas of TOPSIS method have been applied at the selected drones. The non-beneficial and beneficial weights have been assigned to the drones. The normalized matrices have been calculated for each drone. The Euclidean distance for ideal best and ideal worst values has been calculated for each drone and assigned performance scor…
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The authors of [14,15,16,17] describe the use of RPASs to clean solar panels, define the need to purchase a drone, in maritime installations, and for belief management in internet technology, respectively, applications that all used the AHP method to optimize and prioritize processes, sometimes in combination with other MCDA techniques.
“The authors of [14,15,16,17] describe the use of RPASs to clean solar panels, define the need to purchase a drone, in maritime installations, and for belief management in internet technology, respectively, applications that all used the AHP method to optimize and prioritize processes, sometimes in combination with other multi-criteria decision analysis (MCDA) techniques.”
From Multicriteria Methodology for Prioritizing Predictive Maintenance Using RPASs (Drones) with Thermal Cameras on Transmission Lines (2025) · cites this paper as [15]
Publications [11,12,13,14,15,16,17,18,19,20] report the use of the AHP method to prioritize and optimize processes in several areas.
“Publications [11,12,13,14,15,16,17,18,19,20] report the use of the AHP method to prioritize and optimize processes in several areas.”
From Multicriteria Methodology for Prioritizing Predictive Maintenance Using RPASs (Drones) with Thermal Cameras on Transmission Lines (2025) · cites this paper as [15]
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References 31 · Cited by 20
- Authors
- Sohaib Khan, M., Ali Shah, S. I., Javed, A., Mumtaz Qadri, N., & Hussain, N.
- Affiliations
- National University of Science and Technology,Department of Aerospace Engineering CAE,Pakistan
- National University of Sciences and Technology (PK)
- Venue
- 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST)
- Publisher
- IEEE
- Published
- 2021-01-12
- Pages
- 256-270
- OpenAlex
- W3154161952
- Cited by
- 20
- References
- 31
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 6 · 2023: 1 · 2022: 2 · 2021: 1
- FWCI
- 3.64
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Bhurban Conference on Applied Sciences and Technology (IBCAST) (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Optimization and Mathematical Programming
- Keywords
- drone selection, multi-criteria decision making, TOPSIS, analytic hierarchy process, COPRAS, criteria weighting, performance scoring
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