A Mathematical Programming Model to Determine Objective Weights for the Interval Extension of TOPSIS

Shen, Hai; Hu, Lingyu; Lai, Kin Keung

doi:10.1155/2018/3783101

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…Compared to CCG, CMG has a higher heat of hydration. e hydration exotherm is not only affected by the degree of hydration, but also closely related to the initial water content [18]. It can be seen from Table 4 that the water absorption rate of RCA is 5.8%, and that of RMA is 11.2%.…”

Section: Heat Of Hydrationmentioning

confidence: 94%

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Design and Performance Evaluation of Dry-Mixed Cement Recycled Aggregate Pile

Shang¹,

Feng²,

Rong³

et al. 2022

Advances in Materials Science and Engineering

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In this paper, dry-mixed recycled cement concrete gravel (CCG) piles and dry-mixed cement macadam gravel (CMG) piles were analyzed. CCG and CMG were prepared by using recycled concrete aggregate (RCA) with different substitution rates, recycled macadam aggregate (RMA) from waste bricks and tiles, and fly ash, respectively. Mechanical properties, hydration heat release performance, and frost resistance were used as evaluation factors. The compressive strength, hydration heat, relative dynamic elastic modulus, and mass loss rate were tested. Based on the requirements of subgrade reinforcement on the material strength, hydration heat release, and frost resistance of dry-mixed CRA piles, TOPSIS analysis method was used to conduct a comprehensive evaluation. The results show that the mechanical properties and frost resistance of CCG and CMG gradually deteriorate with the increase of RCA and RMA replacement rates. At the same time, the hydration heat release of CCG and CMG increases with the increase of the replacement rate. The fly ash instead of cement can improve the compressive strength and frost resistance of CCG and CMG and reduce the hydration heat and material cost. When the CCG replacement rate reaches 20%, the CCG composite score of 20% fly ash is higher than that of traditional dry-mixed cement gravel pile and has better comprehensive performance.

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Section: Heat Of Hydrationmentioning

confidence: 94%

“…e use of these high-quality aggregates in the manufacture of concrete and mortar gives more added value to these recycled materials. In addition, the TOPSIS analysis method can comprehensively analyze the optimal solution of each parameter under multifactor conditions [18].…”

Section: Introductionmentioning

confidence: 99%

Design and Performance Evaluation of Dry-Mixed Cement Recycled Aggregate Pile

Shang¹,

Feng²,

Rong³

et al. 2022

Advances in Materials Science and Engineering

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“…An MCDM model was developed using a multi-objective genetic algorithm (MOGA) by calculating objective weights using Shannon's entropy method in construction project scheduling [25]. A mathematical programming model was established to calculate the objective weights of criteria for implementing the technique for order of preference by similarity to ideal solution (TOPSIS) method [26]. The advantages of these objective weight assignment methods are they calculate weights based on the dataset associated with each criterion by applying the mathematical formula, and they do not depend on the opinion of the experts.…”

Section: Introductionmentioning

confidence: 99%

“…A combined weight calculation method was developed using subjective, objective weight assignment methods and applied to the TOPSIS method to select optimum fiber types [26]. A comprehensive weight calculation method was used by integrating the analytical network process (ANP) and entropy weights along with the decision-making trial and evaluation laboratory (DEMATEL) and game theory for the evidential supplier selection problem [27].…”

Section: Introductionmentioning

confidence: 99%

Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

et al. 2019

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One of the crucial elements in decision-making is the calculation of criteria weights. In this paper, a new Modified Integrated Weighting (MIW) method was proposed to combine the weights obtained using different weight calculation methods into a single set of weights. The weights express the relative significance of the criteria and play an essential role in making correct decisions. The proposed method considered both subjective knowledge of the experts and the objectivity of the problem by combining the subjective and objective weight assignment methods. The proposed weight calculation method was applied to the agriculture dataset for the evaluation of groundnut crop sites. A decision-making model was developed via the proposed MIW method and Complex Proportional Assessment (COPRAS) method to rank the given groundnut crop site dataset. The ranking results of the developed decision model were compared with the ranking results of average yield data and other methods for validation purposes. The developed model exhibited better results for the given dataset and could be used to solve various other decision-making problems, thereby realizing sustainable development.

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