TOPSIS and Modified TOPSIS: A Comparative Analysis

Chakraborty, Subrata

doi:10.31224/osf.io/y39j7

Cited by 10 publications

(4 citation statements)

References 33 publications

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“…The presence of numerous nondominant solutions on the Pareto front, which arises from solving a multi-objective optimization model, not only places a substantial burden on decision-makers but also hampers their decision-making process . The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach was applied to solve this problem and provided decision-makers with optimal optimization solutions (Çelikbilek and Tüysüz, 2020;Chakraborty, 2022;Hajduk and Jelonek, 2021).…”

Section: Solution Methodsmentioning

confidence: 99%

Optimizing Vegetation Plantation for Carbon Sequestration and Water Consumption: A Case Study on the Beijing-Shanghai Expressway

PI,

SHU,

RUBINATO

et al. 2024

Preprint

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Efficient vegetation planting is essential in highway construction to reduce greenhouse gas emissions and prevent ecological degradation. However, carbon sequestration has rarely been considered in previous optimization models for planting strategies in these environments. To address this gap, this study focuses on selecting five predominant shrub species—Ailanthus altissima, Robinia pseudoacacia, Vitex negundo var. heterophylla, Amorpha fruticosa, and Lespedeza bicolor—typical of the Linyi section of the Beijing-Shanghai Expressway. The study quantifies the carbon sequestration rates and water consumption of these species to demonstrate their contribution to climate change mitigation. Field data were collected in spring, summer, and autumn using the LI-6800 portable photosynthetic system. The NSGA-II was subsequently adopted to establish an optimal model, considering constraints of a planting area of 1000 m² and a water consumption limit of 1067.9 mm. Based on the recorded datasets and the implementation of NSGA-II, the optimized vegetation planting structure for this area comprised Ailanthus altissima (21%), Robinia pseudoacacia (30%), Vitex negundo var. heterophylla (11%), Amorpha fruticosa (26%), and Lespedeza bicolor (12%). By adopting this novel solution, the carbon sequestration capacity per square kilometer increased by 541 kg, while water consumption decreased by 104 mm. This manuscript exemplifies achieving a balance between ecological and economic benefits through an optimized and targeted vegetation planting structure on highway slopes. Local and national authorities can use these results to implement similar strategies in different areas.

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Section: Solution Methodsmentioning

confidence: 99%

Optimizing Vegetation Plantation for Carbon Sequestration and Water Consumption: A Case Study on the Beijing-Shanghai Expressway

PI,

SHU,

RUBINATO

et al. 2024

Preprint

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show abstract

“…On the other hand, objective evaluation methods primarily determine weights based on the relationships between evaluation indicators and the coefficients of variation of each indicator. Typical methods include Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) [12,13], Grey Relational Analysis (GRA) [14], and Principal Component Analysis (PCA) [15]. Among them, the TOPSIS evaluation model optimized using the entropy weight method has found wide application in various fields.…”

Section: Related Workmentioning

confidence: 99%

Evaluation and Prediction of Sustained Competitive Advantage of Baijiu Enterprises Based on Entropy Weight-TOPSIS and INGO-BP Neural Network

Zhou,

Wang,

et al. 2024

FCIS

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In-depth scrutiny of the sustained competitive advantage within the liquor industry is paramount for facilitating a comprehensive understanding of market positions, benefiting both enterprises and investors. This study addresses the limitations of the current model, characterized by fewer evaluation indices and incomplete data, leading to lower assessment efficiency. To enhance the objective and effective evaluation of sustained competitive advantage, financial indicators (development ability, profitability, solvency, operating ability, and cash flow) are integrated, alongside non-financial indicators (brand value, environment, and social responsibility), forming a systematic approach for assessing listed liquor companies. Authentic data is sourced from official information disclosure websites. Utilizing the sliding average of each index enhances the reflection of the sustained development advantage of enterprises. The study employs the entropy value method to calculate weighted indicators, followed by the TOPSIS method for a comprehensive evaluation of sustained competitive advantage. The obtained evaluation values are used as a priori samples for the prediction model. An INGO-BP neural network prediction model is proposed in this study. This model, optimized with a sinusoidal algorithm for the exploratory phase of the Northern Goshawk Algorithm (NGO), incorporates a nonlinear reduction strategy to expedite the convergence of the Northern Goshawk. A spiral perturbation stage is added to prevent the NGO algorithm from entering local minima. The improved NGO algorithm (INGO) is employed for BP neural network parameter optimization. Simulation experiments reveal a significant enhancement in the performance of the INGO algorithm. In empirical analysis, a comparative assessment with other models demonstrates that the evaluation and prediction model in this study more accurately reflects the sustained competitive advantage of liquor enterprises, yielding predictions of higher accuracy and enhanced stability in performance.

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“…The TOPSIS algorithm is a method for multi-attribute decision analysis that can be used to evaluate a set of candidate solutions and determine the best solution [9]. The above steps have determined the weight through game combination weighting.…”

Section: Topsis Comprehensive Evaluation Scorementioning

confidence: 99%

Insurance Risk Assessment Model based on Game Theory-Combined Weighting-TOPSIS

Xie,

2024

HBEM

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With the increasingly severe climate change and intensifying severity of weather events and natural disasters, ensuring the sustainable development of the property insurance industry becomes particularly important. The policy distribution of insurance companies has become a key issue. This paper proposes a novel Game Theory-Combined Weighting-TOPSIS model, which weights indicators using The Entropy Weight Method and the CRITIC method, combines the weights of the former two through game-based combined weighting, and leverages the advantages of the TOPSIS method in handling multi-criteria decision-making problems. Among them, taking China as an example and applying the model, it is found that southeastern China and coastal areas have higher scores and are suitable for insurance. Through this approach, we can scientifically and reasonably assess the risk levels in different regions, provide decision support for property insurance companies to optimize policy distribution, and promote the healthy development of the insurance industry.

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TOPSIS and Modified TOPSIS: A Comparative Analysis

Cited by 10 publications

References 33 publications

Optimizing Vegetation Plantation for Carbon Sequestration and Water Consumption: A Case Study on the Beijing-Shanghai Expressway

Optimizing Vegetation Plantation for Carbon Sequestration and Water Consumption: A Case Study on the Beijing-Shanghai Expressway

Evaluation and Prediction of Sustained Competitive Advantage of Baijiu Enterprises Based on Entropy Weight-TOPSIS and INGO-BP Neural Network

Insurance Risk Assessment Model based on Game Theory-Combined Weighting-TOPSIS

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