Water Quality Test and Site Selection for Suitable Species for Seaweed Farm in East Coast of Malaysia

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.

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Communities ready for takeoff

Politics and the Life Sciences ◽

10.1017/pls.2017.6 ◽

2017 ◽

Vol 36 (1) ◽

pp. 14-26 ◽

Cited By ~ 2

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.

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Onboard and self-contained landing site selection for planetary landers/hoppers

2014 IEEE Aerospace Conference ◽

10.1109/aero.2014.6836176 ◽

2014 ◽

Cited By ~ 1

Author(s):

Babak E. Cohanim ◽

Jeffrey A. Hoffman ◽

Tye Brady

Keyword(s):

Site Selection ◽

Landing Site ◽

Selection For ◽

Landing Site Selection

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Site selection for artificial recharge with treated wastewater with the integration of multi-criteria evaluation and ELECTRE III

Environmental Science and Pollution Research ◽

10.1007/s11356-021-12354-6 ◽

2021 ◽

Author(s):

Marwa Mahmoudi ◽

Abdelwaheb Aydi ◽

Hatem Ibrahim

Keyword(s):

Site Selection ◽

Artificial Recharge ◽

Treated Wastewater ◽

Electre Iii ◽

Multi Criteria Evaluation ◽

Selection For

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

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200480 ◽

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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