Near-Earth object hazardous impact: A Multi-Criteria Decision Making approach

Abstract

The impact of a near-Earth object (NEO) may release large amounts of energy and cause serious damage. Several NEO hazard studies conducted over the past few years provide forecasts, impact probabilities and assessment ratings, such as the Torino and Palermo scales. These high-risk NEO assessments involve several criteria, including impact energy, mass, and absolute magnitude. The main objective of this paper is to provide the first Multi-Criteria Decision Making (MCDM) approach to classify hazardous NEOs. Our approach applies a combination of two methods from a widely utilized decision making theory. Specifically, the Analytic Hierarchy Process (AHP) methodology is employed to determine the criteria weights, which influence the decision making, and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is used to obtain a ranking of alternatives (potentially hazardous NEOs). In addition, NEO datasets provided by the NASA Near-Earth Object Program are utilized. This approach allows the classification of NEOs by descending order of their TOPSIS ratio, a single quantity that contains all of the relevant information for each object.

Evaluating the Comprehensive Performance of Herbaceous Peonies at low latitudes by the Integration of Long-running Quantitative Observation and Multi-Criteria Decision Making Approach

“…The screening of the superior cultivars and the selection of the appropriate parents to perform crossbreeding are two main approaches to enlarge the planting area of the target plant, and both approaches should be based on the resource evaluation 4,6 . In this study, we adopted the AHP to evaluate the peony performances, which had been confirmed as a classic and highly effective MCDM methodology to evaluate the specific goals 14,32,33 . This method has been widely used in many scientific fields, such as astronomy, geography, energy science, environmental ecology, healthcare, management and engineering 13,34,43–48 .…”

“…The construction of a completed MCDM evaluation system includes some common steps, such as choosing indices, making criteria and assigning weights 13,14,32 (Fig. 5).…”

Low-Carbon Energy Planning: A Hybrid MCDM Method Combining DANP and VIKOR Approach

“…Moreover, software related to assessment methods will be designed and applied in the assessment process. (3) For the uncertainty of experts' evaluations, uncertainty theory will be studied in the future [35,36,51,52].…”

Identification of Key Success Factors in the Marketing of Cosmetics Based on Knowledge, Attitude and Practice (KAP) Analysis Using Topsis Technique (The Case of Iran)

“…After explaining the purpose of the study, briefly, they were requested to fill in the questionnaire. SPSS version 16.0 was used to analyze gathered data from completed questionnaires. Normality of the data was tested using the Kolmogorov-Smirnov test.…”

“…13 It is a multi-criteria decision making model used to compare a set of choices by determining weights for each measure. [14][15][16][17] Lost of studies have been presented in the area of marketing using Topsis technique. Mehralian et al 18 have identified and prioritized the critical success factors within pharmaceutical industries by Topsis technique.…”