An interactive decision support system for implementing sustainable relocation strategies for adaptation to climate change: a multi-objective optimisation approach

2009 ◽  
Vol 1 (3) ◽  
pp. 326 ◽  
Author(s):  
Sajjad Zahir ◽  
Ruhul Sarker ◽  
Ziaul Al Mahmud
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Adaptation To Climate Change ◽  
Multi Objective ◽  
Interactive Decision Support

scholarly journals The Development of a Novel Decision Support System for the Location of Green Infrastructure for Stormwater Management

2018 ◽  
Vol 10 (12) ◽  
pp. 4388 ◽  
Author(s):  
Jan Kazak ◽  
Jakub Chruściński ◽  
Szymon Szewrański
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Green Infrastructure ◽  
Urban Land Use ◽  
Soil Conditions ◽  
Adaptation To Climate Change ◽  
Moisture Conditions ◽  
Urban Adaptation

In order to maximise the benefits of green infrastructure in a city’s structure for urban adaptation to climate change, there is a need to support decision-makers in the urban design domain with adequate information that would help them to locate such green infrastructure in the most suitable places. Therefore, the aim of this study was to develop a novel decision support system (DSS) for the location of green infrastructure. The goal of the designed solution is to inform users about the location of urban hydrological sinks, which gather stormwater in urban watersheds, and the amount of water which could accumulate in each location depending on the defined precipitation and the soil’s moisture conditions. The designed DSS is based on a multicomponent methodology including both atmospheric and soil conditions. The DSS was tested using a sample that presents the results of stormwater accumulation calculations. The obtained results show which green areas are the most suitable locations for green infrastructure solutions and which facility is optimal because of its retention abilities and amount of accumulated stormwater. The application of the designed DSS allows us to maximise the benefits of the implementation of green infrastructure within the existing urban land use. The fully editable component of hydrological conditions allows for testing projections of the potential amount of accumulated water in different precipitation scenarios. The study provides a DSS for use by local authorities which enables them to concentrate actions in order to better adapt cities to climate change and environmental extremes.

scholarly journals Sistem Bantu untuk Pengrajin dalam Menentukan Kayu Terbaik Terbaik untuk Bahan Gitar dengan Menggunakan Matode Moora

2021 ◽  
Vol 8 (6) ◽  
pp. 1177
Author(s):  
Tundo Tundo ◽  
Wisnu Dwi Nugroho
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
A Value ◽  
Wood Grain ◽  
The Right ◽  
Moora Method

<p>Penelitian ini bertujuan untuk membantu pengrajin kayu di Dongkelan, Krapyak, Yogyakarta dalam menentukan kayu terbaik untuk dijadikan sebagai bahan gitar, karena sering terjadi keluhan dari para pembeli bahwa bahan yang dijadikan bahan gitar cepat lapuk dan kusam dari segi warnah. Berdasarkan permasalahan tersebut, dicari suatu solusi dengan menggunakan metode <em>Decision Support System</em> <em>Multi Objective Optimization on the basic of Ratio Analysis</em><em> </em>(MOORA) serta dibantu oleh pakar dalam menentukan kriteria yang tepat berkaitan penentuan kayu terbaik yang digunakan dalam pembuatan bahan gitar, setelah berdiskusi panjang ditemukan hasil kriteria yang tepat berdasarkan permasalahan, berupa kriteria kekuatan kayu, serat kayu, tekstur, dan berat kayu. Semua kriteria tersebut, kemudian diproses dengan menggunakan metode MOORA, dengan data yang digunakan sebanyak 29 jenis data kayu, yang diperoleh dari pengrajin yang ada di wilayah tersebut. Setelah diproses, diperoleh hasil 3 kayu terbaik yang layak untuk digunakan sebagai bahan pembuatan gitar secara berurutan dalah kayu Bubinga dengan nilai 18,36785, kayu Bocote dengan nilai 17,33385, dan kayu Eboni dengan nilai 17,33385   dari beberapa pilihan alternatif  kayu yang ada. Membuktikan hasil dari metode MOORA<em>, </em>maka dilakukan responden secara langsung dengan memberikan hasil metode kepada pakar pembuat gitar. Dari 15 pakar pembuat gitar, 13 mengatakan setuju dengan peringkat 3 terbesar, dan 2 mengatakan kurang setuju. Sehingga ditemukan tingkat akurasi berdasarkan penilaian pakar sebesar 86,67 %.</p><p> </p><p><strong>Abstract</strong></p><div><p><em>This study aims to assist wood craftsmen in Dongkelan, Krapyak, Yogyakarta in determining the best wood to be used as guitar material, because there are frequent complaints from buyers that the material used for guitar is rotten quickly and is dull in terms of color. Based on these problems, a solution was sought using the Multi Objective Optimization on the basic of Ratio Analysis (MOORA) Decision Support System method and assisted by experts in determining the right criteria related to determining the best wood used in making guitar materials, after a long discussion found the results. the right criteria based on the problem, in the form of wood strength criteria, wood grain, texture, and wood weight. All of these criteria are then processed using the MOORA method, with the data used as much as 29 types of wood data, which are obtained from craftsmen in the area. After processing, the 3 best woods that are suitable for use as a guitar-making material are Bubinga wood with a value of 18.36785, Bocote wood with a value of 17.333385, and Eboni wood with a value of 17.333385 from several alternative wood choices. . Proving the results of the MOORA method, the respondents directly gave the results of the method to guitar-making experts. Of the 15 expert guitar makers, 13 said they agreed with the third largest ranking, and 2 said they disagreed. So that it found the level of accuracy based on expert judgment of 86.67%. </em></p></div><p><strong><br /></strong></p>

A User-centered Decision Support System for Climate Change Adaptation Planning

2020 ◽  
Vol 11 (6-1) ◽  
pp. 657-667
Author(s):  
Jung Hee Hyun ◽  
Ji Yeon Kim ◽  
Dong Kun Lee ◽  
Ju Young Huh ◽  
Chae Young Bae ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Climate Change Adaptation ◽  
Support System ◽  
Adaptation Planning ◽  
User Centered

Decision support system for NPK fertilization: a solution method for minimizing the impact on human health, climate change, ecosystem quality and resources

2020 ◽  
Vol 55 (11) ◽  
pp. 1267-1282
Author(s):  
Ramiro Meza-Palacios ◽  
Alberto A. Aguilar-Lasserre ◽  
Luis F. Morales-Mendoza ◽  
José O. Rico-Contreras ◽  
Luis H. Sánchez-Medel ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Human Health ◽  
Support System ◽  
Solution Method ◽  
Ecosystem Quality ◽  
The Impact ◽  
Npk Fertilization
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