Application of entropy-based multi-attribute decision-making method to structured selection of settlement

Tian-lin, Duo; Guo, Jifeng; Wu, Fang; Zhai, Renjian

doi:10.1016/j.jvcir.2018.11.026

Cited by 10 publications

(2 citation statements)

References 4 publications

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“…Drakaki et al (2018) considered the camp settlement size, drainage, water availability, sanitation, the distance from major towns, the distance from protected areas, the distance from tourist attractions, the accessibility of health institutions, the accessibility of the roadway, the availability of electricity, and the accessibility of educational institutions utilized as the evaluation criteria in their study. Finally, Tianlin et al (2019) addressed the density of the population, the area of land, the gross regional domestic product (GRDP), and the density of the highway as the key factors for making neighborhood decisions.…”

Section: Criteria Used For Decision Making About Neighborhoodsmentioning

confidence: 99%

Neighborhood Selection for a Newcomer via a Novel BWM-Based Revised Mairca Integrated Model: A Case From the Coquimbo-La Serena Conurbation, Chile

Zolfani

Ecer

Pamučar

et al. 2020

International Journal of Strategic Property Management

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Nowadays, cities are developing differently according to their needs, limitations and certain strategic plans. Moreover, conurbation areas will be more common in so many countries like Chile when there are two or more cities developing one next to another, leaning on each other. In this atmosphere, typical residents live in a region or a neighborhood based on certain criteria, so they know how and where they are going to live. From another point of view, a newcomer is usually faced with a city full of contrasts which make things completely and surprisingly complicated. In order to illustrate this, a real case was selected based on the research field, qualitative and quantitative (real) data. The Coquimbo-La Serena conurbation and it’s regions as “Comuna (in Chile)” is a really suitable case to show the complexity of the study. In order to face the challenge, a new hybrid Multiple-Attribute Decision-Making (MADM) method is introduced based on the Best-Worst Method (BWM) and Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA). The five best different neighborhoods as Comunas of the conurbation were analyzed based on the two main scenarios: having a private car or using only public transportation. To obtain more reliable results, a sensitivity analysis was made so as to determine the behavior of the proposed model against weight changes. Besides, the final results were compared with the other MADM methods, for example: Multi-Attributive Border Approximation Area Comparison (MABAC), VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) and COmbinative Distance-based ASsessment (CODAS).

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Section: Criteria Used For Decision Making About Neighborhoodsmentioning

confidence: 99%

Neighborhood Selection for a Newcomer via a Novel BWM-Based Revised Mairca Integrated Model: A Case From the Coquimbo-La Serena Conurbation, Chile

Zolfani

Ecer

Pamučar

et al. 2020

International Journal of Strategic Property Management

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“…In recent years, many studies have adopted the Entropy-TOPSIS hybrid method in various areas such as energy performance benchmarking (Wang et al 2017), blockchain evaluation (Tang et al 2019), emergency plan optimization (Long et al 2019), quality characteristics ranking (Ouyang et al 2014), sustainable ranking of structural materials (Bakhoum and Brown 2013), competitiveness analysis (Kim 2016), safety evaluation (Li et al 2011), structured selection of settlement (Tianlin et al 2019), and rail system operation performance evaluation (Huang et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of forest products trade economic contribution by entropy-TOPSIS: Case study of Turkey

Bayram

2020

BioRes

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The forest products industry is one of the most powerful industry branches of Turkey, and as in other developing countries, Turkey has a persistent trade deficit. The present paper aims to evaluate the forest industry products of Turkey regarding their economic contribution by Entropy-TOPSIS, which is a hybrid multicriteria decision making method. The evaluation was done to specify the products which will be able to create currency inflow most for reducing the trade deficit and help economic development. According to computations, the most contributing products are medium-density fiberboard (MDF), high-density fiberboard (HDF), industrial roundwood, and particle board. In addition, household and sanitary papers, as well as other paper and paper board products were found to have great economic potential.

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How to extract traditional cultural design elements from a set of images of cultural relics based on F-AHP and entropy

Qin

et al. 2020

Multimed Tools Appl

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Application of entropy-based multi-attribute decision-making method to structured selection of settlement

Cited by 10 publications

References 4 publications

Neighborhood Selection for a Newcomer via a Novel BWM-Based Revised Mairca Integrated Model: A Case From the Coquimbo-La Serena Conurbation, Chile

Neighborhood Selection for a Newcomer via a Novel BWM-Based Revised Mairca Integrated Model: A Case From the Coquimbo-La Serena Conurbation, Chile

Evaluation of forest products trade economic contribution by entropy-TOPSIS: Case study of Turkey

How to extract traditional cultural design elements from a set of images of cultural relics based on F-AHP and entropy

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