Application of TOPSIS method in selection of design attributes of decision support system for fertilizer recommendation

Motia, Sanjay; Reddy, S. R. N.

doi:10.1080/02522667.2020.1799513

Cited by 6 publications

(2 citation statements)

References 40 publications

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“…Masaki [13] proposed to use location as a key factor to design an enhanced collaborative filtering system that can recommend personalized restaurant services to users, verifying the role of location-based services. Motia and Reddy [14] proposed the HGSM framework, which provides information for calculating the similarity of the user's geographic space by mining information from the user's geographic location history and the hierarchical attributes of the geographic space, and explores the relationship between users and users of intimacy and the association between users and geographic locations to address their interests and hobbies.…”

Section: Related Workmentioning

confidence: 99%

Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm

Wang

Qin

Tang

et al. 2022

Journal of Function Spaces

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With the deepening of tourists’ demand for tourism services, the personalization of online tourists has gradually become an application of personalized recommendation technology. According to the application requirements of personalized scenic spot recommendation, this paper uses social networks and Bayesian networks to fully mine the matching degree between users and scenic spots for personalized recommendation. Add social network factors to the recommendation of tourist attractions, and fully tap the social network relationship between users. First, the users are clustered by the coupling bidirectional clustering algorithm. Then, DBSCAN (density-based noise application spatial clustering) algorithm is used to cluster scenic spots. Finally, two stable user sets and scenic spot sets are applied to the personalized recommendation algorithm to predict the user’s next upcoming scenic spot. The algorithm is compared with some traditional algorithms in the dataset. The algorithm deals with the similarity of user attributes and user behavior and uses content-based algorithm to deal with the relationship between scenic spots; com datasets have better performance.

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Section: Related Workmentioning

confidence: 99%

Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm

Wang

Qin

Tang

et al. 2022

Journal of Function Spaces

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“…Hwang and Yoon developed TOPSIS in 1981 to determine solutions from a finite set of alternatives [21,22]. TOPSIS ranks candidates according to their distances from their ideal solutions with the consideration of their profit and cost criteria [21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Nanoparticles Characteristics with TOPSIS for Their Manufacture Optimization

Javanbakht

2022

JES

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The present study focuses on the comparative analysis of superparamagnetic iron oxide nanoparticles (SPIONs) characteristics with the TOPSIS method. The prediction of the characteristics of SPIONs is required for better manufacturing of these nanoparticles. Although the characteristics of these nanoparticles have been investigated, no research has been done on their comparison in order to determine which one of their surface functionalities would be more appropriate for their diverse applications. The objective of this study was to analyze the characteristics of SPIONs without or with surface charge with a prediction model and TOPSIS in order to determine the best nanoparticles. Moreover, the effect of inappropriate consideration of their cost criterion on their ranks was explored with the modified TOPSIS. This analysis showed that the characteristics of SPIONs such as antibiofilm activity, hemocompatibility, activity with hydrogen peroxide, rheological properties, and the labour of their chemical synthesis could affect their ranking. Neutral SPIONs, negatively charged SPIONs, and positively charged SPIONs were ranked as the first, second, and third candidates, respectively. However, the improvement of the activity of positively charged SPIONs with hydrogen peroxide showed an increase to 0.3 instead of 0.2, which resulted in a better rank of these nanoparticles in comparison with that of the same nanoparticles in the first analysis series. One of the advantages of this study was to determine the impact of the characteristics of SPIONs on their ranking for their manufacturing. The other advantage was getting the information for further comparative study of these nanoparticles with the others. The results of this work can be used in manufacturing engineering and materials science.

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Risk assessment and ranking methodology for occupational hazards in construction: a case of Indian high-rise projects

Tripathi,

Mittal

2024

SASBE

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PurposeThe unique nature, complicated design, hazardous activities and complex work environment involved in the high-rise construction projects constitute significant risks worldwide. In the Indian context, construction safety management in high-rise construction projects is crucial due to the presence of significant occupational risks and hazards at the workplace. Occupational hazards lead to accidents that severely affect human health and result in substantial financial losses.Design/methodology/approachThe study aims to present a hybrid risk assessment method (RAM) and the technique for order of preference by similarity to ideal solution (TOPSIS) method to detect and evaluate occupational risks in different construction activities through a questionnaire survey approach.FindingsAroundsix types of construction activities and corresponding ten risks are identified and evaluated during the study. Based on the calculation of risk scores, the findings imply that “roof work activities,” “finishing work,” “mechanical, electrical and plumbing work (MEP)” are hazardous construction activities, while, among the corresponding ten risks, “workers falling from height” is the most prominent risk among the majority of activities. Other risks include “risk due to fire and electric accidents” and “struck by falling objects,” which are the major risks in high-rise construction projects.Originality/valueTheoriginality of the paper lies in its activity-based risk assessment and ranking of hazards in high-rise construction projects. By integrating theoretical insights with practical applications, the study attempts to enhance occupational safety and reduce accidents on construction sites, thereby significantly contributing to both academia and industry practices.

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Application of TOPSIS method in selection of design attributes of decision support system for fertilizer recommendation

Cited by 6 publications

References 40 publications

Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm

Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm

Analysis of Nanoparticles Characteristics with TOPSIS for Their Manufacture Optimization

Risk assessment and ranking methodology for occupational hazards in construction: a case of Indian high-rise projects

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