scholarly journals Site Selection for Hibernation by the Tree Frog, Rhacophorus schlegelii

1999 ◽  
Vol 18 (2) ◽  
pp. 39-44 ◽  
Author(s):  
SADAO IHARA
Keyword(s):  
Site Selection ◽  
Tree Frog ◽  
Selection For

Retention of Some Radionuclides on Soil in Site Selection for Nuclear Facility

2020 ◽  
Vol 62 (5) ◽  
pp. 658-666
Author(s):  
D. M. Imam ◽  
M. M. Hamed ◽  
M. F. Attallah
Keyword(s):  
Site Selection ◽  
Nuclear Facility ◽  
Selection For

A Case Study on Experiment Site Selection for PV Energy Generation Forecast

2020 ◽  
Author(s):  
Huang Yu Hsiang ◽  
Tseng Sheng Yuan ◽  
Ping Wang ◽  
Lin Wen Hui ◽  
Lin Hsiao Chung
Keyword(s):  
Site Selection ◽  
Energy Generation ◽  
Selection For

On Laplacian energy of picture fuzzy graphs in site selection problem

2021 ◽  
pp. 1-18
Author(s):  
Mahima Poonia ◽  
Rakesh Kumar Bajaj
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Upper Bounds ◽  
Selection Problem ◽  
Hydropower Plant ◽  
Fuzzy Graph ◽  
Fuzzy Information ◽  
Fuzzy Graphs ◽  
Laplacian Energy ◽  
Selection For

In the present work, the adjacency matrix, the energy and the Laplacian energy for a picture fuzzy graph/directed graph have been introduced along with their lower and the upper bounds. Further, in the selection problem of decision making, a methodology for the ranking of the available alternatives has been presented by utilizing the picture fuzzy graph and its energy/Laplacian energy. For the shake of demonstrating the implementation of the introduced methodology, the task of site selection for the hydropower plant has been carried out as an application. The originality of the introduced approach, comparative remarks, advantageous features and limitations have also been studied in contrast with intuitionistic fuzzy and Pythagorean fuzzy information.

Communities ready for takeoff

2017 ◽  
Vol 36 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Sanne A. M. Rijkhoff ◽  
Season A. Hoard ◽  
Michael J. Gaffney ◽  
Paul M. Smith
Keyword(s):  
Site Selection ◽  
Science Literature ◽  
Location Selection ◽  
Community Assets ◽  
Selection Decisions ◽  
The Social ◽  
Selection For ◽  
Insight Into ◽  
New Infrastructure ◽  
Take All

Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-selection decisions. This framework is applied to the Northwest Advanced Renewables Alliance project to assess community suitability for biofuel-related developments. This framework is the first to take all necessary community assets into account, providing insight into successful site selection beyond current models. The framework not only serves as a model for future biorefinery projects but also guides tasks that depend on informed location selection for success.

A grey approach to site selection for nursing homes: An extension of the fuzzy analytic hierarchy process

2021 ◽  
pp. 1-12
Author(s):  
Yun Fan ◽  
Zhigeng Fang ◽  
Sifeng Liu ◽  
Jun Liu
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Analytic Hierarchy Process ◽  
Site Selection ◽  
Indicator System ◽  
Layer System ◽  
Analytic Hierarchy ◽  
Selection For ◽  
Grey Number ◽  
Hierarchy Process

The construction of more nursing homes has become one of the most needed pension services in China, and the issue of site selection is one of the most important steps in their construction. The problem of site selection for nursing homes is a complex system engineering problem that involves not only economic interests but also social interests. Due to the limitations of human thinking in the evaluation process, the evaluation value of a nursing home site might be an interval grey number. Moreover, the evaluation indicator system for nursing home locations is a two-layer system that has been neglected in the literature. Therefore, the fuzzy analytical hierarchy process is extended to a new grey approach, i.e., the grey analytic hierarchy process, which can solve the evaluation problems for a two-layer indicator system under an interval grey environment. By constructing a three-point interval grey number, grey evaluation criteria are given to obtain a judgment matrix for interval grey numbers. Definitions of the initial weights, nongreyness weights and integrated weights are proposed to find the best evaluation object. Finally, the effectiveness of the method proposed by this paper is verified by comparative analyses of other grey methods.

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