Relevant bibliographies by topics / Spatial MCDM techniques

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Spatial MCDM techniques'

Author: Grafiati
Published: 19 February 2023
Last updated: 20 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Spatial MCDM techniques.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Spatial MCDM techniques"

1

Erdin, Ceren, and Halil Emre Akbaş. "A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey." Sustainability 11, no. 14 (July 14, 2019): 3837. http://dx.doi.org/10.3390/su11143837.

Full text
Abstract:
Multi-criteria decision-making (MCDM) techniques are increasingly being used for the problem of location selection, which directly affects the long-term success of a company. Besides these techniques, with the advantage of handling both spatial and non-spatial data, geographic information systems (GIS) also represent a useful method for selecting the appropriate location for different kinds of facilities and sites. In this respect, this study aims to compare the results of a MCDM technique, fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and GIS for the location selection of shopping malls in Turkey. According to the results of both fuzzy TOPSIS and GIS, the Marmara region was determined as the best alternative for shopping malls in Turkey.
APA, Harvard, Vancouver, ISO, and other styles
2

Ozdemir, Sahika, and Yavuz Ozdemir. "Prioritizing store plan alternatives produced with shape grammar using multi-criteria decision-making techniques." Environment and Planning B: Urban Analytics and City Science 45, no. 4 (January 6, 2017): 751–71. http://dx.doi.org/10.1177/0265813516686566.

Full text
Abstract:
To generate alternatives and variations of specific architectural models, shape grammars can be used by applying a set of geometric rules step by step. With the development in human life, advances in store design, design concept, commercial buildings’ architectural and spatial fiction, the magazine of the interior, and facade design cause rising competition between stores and also between designers. For this reason, in this paper we study the evaluation of store plan alternatives produced with shape grammar using two of multi-criteria decision-making (MCDM) techniques with fuzzy numbers, namely fuzzy analytic hierarchy process and fuzzy analytic network process. The main contribution of this paper is to prioritize plan alternatives using numerical methods with experts’ view. To the authors’ knowledge, this will be the first interdisciplinary study which uses MCDM techniques for evaluating shape grammar outputs in architectural design.
APA, Harvard, Vancouver, ISO, and other styles
3

Vitianingsih, Anik Vega, Nanna Suryana, and Zahriah Othman. "Spatial analysis model for traffic accident-prone roads classification: a proposed framework." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 2 (June 1, 2021): 365. http://dx.doi.org/10.11591/ijai.v10.i2.pp365-373.

Full text
Abstract:
<span id="docs-internal-guid-9754d3d8-7fff-a7d2-6605-1c8f8c5a707a"><span>The classification method in the spatial analysis modeling based on the multi-criteria parameter is currently widely used to manage geographic information systems (GIS) software engineering. The accuracy of the proposed model will play an essential role in the successful software development of GIS. This is related to the nature of GIS used for mapping through spatial analysis. This paper aims to propose a framework of spatial analysis using a hybrid estimation model-based on a combination of multi-criteria decision-making (MCDM) and artificial neural networks (ANNs) (MCDM-ANNs) classification. The proposed framework is based on the comparison of existing frameworks through the concept of a literature review. The model in the proposed framework will be used for future work on the traffic accident-prone road classification through testing with a private or public spatial dataset. Model validation testing on the proposed framework uses metaheuristic optimization techniques. Policymakers can use the results of the model on the proposed framework for initial planning developing GIS software engineering through spatial analysis models.</span></span>
APA, Harvard, Vancouver, ISO, and other styles
4

Abdul Rasam, Abdul Rauf, Noresah Mohd Shariff, JilorisF Dony, and Oliver Hoon Leh Ling. "Local Spatial Knowledge for Eliciting Risk Factors and Disease Mapping of Tuberculosis Epidemics." Environment-Behaviour Proceedings Journal 5, SI2 (December 27, 2020): 45–51. http://dx.doi.org/10.21834/ebpj.v5isi2.2522.

Full text
Abstract:
Predicting risk areas of tuberculosis (TB) epidemics needs a proper understanding of the disease transmission process in identifying holistic risk factors. This study was performed to determine the causative factors triggering the epidemics in Shah Alam, Malaysia by utilising spatial analysis techniques and participation of local-expert knowledge or local spatial knowledge (LSK) approach. LSK approach was conducted to collect data on TB risk factors by combining experienced local experts' opinions, multi-criteria decision making (MCDM) analysis, and GIS mapping. The combination of experts participatory GIS and knowledge elicitation can generate a useful spatial knowledge framework for risk assessment of local epidemics. Keywords: Local spatial knowledge, MCDM method, experts participatory GIS, tuberculosis. eISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI2.2522.
APA, Harvard, Vancouver, ISO, and other styles
5

Nalbant, Kemal Gökhan, Şahi̇ka Özdemi̇r, and Yavuz Özdemi̇r. "Evaluating Inclusive Campus Environment Design Criteria Using CFPR and FANP Methodologies." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 9 (August 2, 2021): 92–102. http://dx.doi.org/10.37394/232018.2021.9.11.

Full text
Abstract:
University campuses bring together individuals from different socio-cultural backgrounds. At the same time, university campuses contribute to the personal and intellectual development of individuals and serve as a socialization area. Campuses create vitality with their social, cultural, economic, and spatial effects. In this paper, we study for evaluating inclusive campus environment design criteria using the Fuzzy Analytical Network Process (FANP) and Consistent Fuzzy Preference Relations (CFPR) techniques, which are two Multi- Criteria Decision Making (MCDM) methods. Seven Inclusive Campus Environment Design Criteria are “Land Use Organization”, “Compactness”, “Connectivity”, “Configuration”, “Living campus”, “Greens” and “Context”. The major contribution of our study is to prioritize inclusive campus environment design criteria by using numerical methods from the decision maker's perspective. According to the authors’ knowledge, this will be the first interdisciplinary study to use MCDM methods for evaluating inclusive campus environment design criteria. Additionally, the results of both methodologies are compared
APA, Harvard, Vancouver, ISO, and other styles
6

Yildirim, Volkan, Tugba Memisoglu, Sevket Bediroglu, and H. Ebru Colak. "MUNICIPAL SOLID WASTE LANDFILL SITE SELECTION USING MULTI-CRITERIA DECISION MAKING AND GIS: CASE STUDY OF BURSA PROVINCE." Journal of Environmental Engineering and Landscape Management 26, no. 2 (June 27, 2018): 107–19. http://dx.doi.org/10.3846/16486897.2017.1364646.

Full text
Abstract:
Rapid population growth, economic development and industrialization have created many problems related to municipal solid waste management (MSWM) in developing countries like Turkey. Solid waste disposal has become mandatory because of increasingly common factors such as global warming and contamination of water resources. In recent years, this situation has revealed the need for effective management of solid waste. Suitable site selection requires evaluation and analysis of multiplefactor. Therefore, it is very important that the design of landfill site selection take into account environmental, economical and sociologicalfactors. In order to do this, the Geographical Information System (GIS) used with Multi Criteria Decision Making (MCDM) techniques is a useful tool for creating a model. One such MCDM is the Spatial-integrated Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In this study, TOPSIS was applied to integrate environmental, economical and sociological sensitivity into determine alternative solid waste landfill sites for Bursa Province, Turkey. Using the data obtained by comparing the geo-statistics, six of the most suitable landfill areas were determined. In the final stage, as a result of this study, the Kayapa district was identified as the most suitable landfill area.
APA, Harvard, Vancouver, ISO, and other styles
7

Lee, G., K. S. Jun, and E. S. Chung. "Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method." Natural Hazards and Earth System Sciences 15, no. 4 (April 20, 2015): 863–74. http://dx.doi.org/10.5194/nhess-15-863-2015.

Full text
Abstract:
Abstract. This study proposes an improved group decision making (GDM) framework that combines the VIKOR method with data fuzzification to quantify the spatial flood vulnerability including multiple criteria. In general, GDM method is an effective tool for formulating a compromise solution that involves various decision makers since various stakeholders may have different perspectives on their flood risk/vulnerability management responses. The GDM approach is designed to achieve consensus building that reflects the viewpoints of each participant. The fuzzy VIKOR method was developed to solve multi-criteria decision making (MCDM) problems with conflicting and noncommensurable criteria. This comprising method can be used to obtain a nearly ideal solution according to all established criteria. This approach effectively can propose some compromising decisions by combining the GDM method and fuzzy VIKOR method. The spatial flood vulnerability of the southern Han River using the GDM approach combined with the fuzzy VIKOR method was compared with the spatial flood vulnerability using general MCDM methods, such as the fuzzy TOPSIS and classical GDM methods (i.e., Borda, Condorcet, and Copeland). As a result, the proposed fuzzy GDM approach can reduce the uncertainty in the data confidence and weight derivation techniques. Thus, the combination of the GDM approach with the fuzzy VIKOR method can provide robust prioritization because it actively reflects the opinions of various groups and considers uncertainty in the input data.
APA, Harvard, Vancouver, ISO, and other styles
8

SAYYED ALI, ALAVI, MESHKINI ABOLFAZL, and EBRAHIMI MOHAMMAD. "Operational site selection for disaster management bases in Tehran, Iran." MAUSAM 71, no. 3 (August 3, 2021): 431–42. http://dx.doi.org/10.54302/mausam.v71i3.42.

Full text
Abstract:
Natural disasters play a main role in human life. It should be taken into consideration that it is impossible to predict these disasters from happening, but preparation for a good response for these disasters can be a good solution to decrease post-damage casualties in the cities. Herein, Disaster Management Bases in terms of prevention, preparation and dealing with the crisis play a key role, especially in Tehran and in times of natural disasters. There is no doubt that a high level and efficient function of these bases has a striking correlation with the way they are located in both an urban and regional level in a way that in addition to providing security of the bases against disasters, based on the service area they could be able to provide good services for the areas of crisis. This paper tries to use Multi Criteria Decision Making (MCDM) techniques and spatial analysis method in order to assess the effectiveness of these bases. Based on assessments Disaster Management Bases have spontaneously distributed in Tehran and have located in inappropriate places. Thus using MCDM with GIS analysis, the best locations in case study area was proposed.
APA, Harvard, Vancouver, ISO, and other styles
9

Lee, G., K. S. Jun, and E. S. Cung. "Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method." Natural Hazards and Earth System Sciences Discussions 2, no. 9 (September 30, 2014): 6141–71. http://dx.doi.org/10.5194/nhessd-2-6141-2014.

Full text
Abstract:
Abstract. This study proposes an improved group decision making (GDM) framework that combines VIKOR method with fuzzified data to quantify the spatial flood vulnerability including multi-criteria evaluation indicators. In general, GDM method is an effective tool for formulating a compromise solution that involves various decision makers since various stakeholders may have different perspectives on their flood risk/vulnerability management responses. The GDM approach is designed to achieve consensus building that reflects the viewpoints of each participant. The fuzzy VIKOR method was developed to solve multi-criteria decision making (MCDM) problems with conflicting and noncommensurable criteria. This comprising method can be used to obtain a nearly ideal solution according to all established criteria. Triangular fuzzy numbers are used to consider the uncertainty of weights and the crisp data of proxy variables. This approach can effectively propose some compromising decisions by combining the GDM method and fuzzy VIKOR method. The spatial flood vulnerability of the south Han River using the GDM approach combined with the fuzzy VIKOR method was compared with the results from general MCDM methods, such as the fuzzy TOPSIS and classical GDM methods, such as those developed by Borda, Condorcet, and Copeland. The evaluated priorities were significantly dependent on the employed decision-making method. The proposed fuzzy GDM approach can reduce the uncertainty in the data confidence and weight derivation techniques. Thus, the combination of the GDM approach with the fuzzy VIKOR method can provide robust prioritization because it actively reflects the opinions of various groups and considers uncertainty in the input data.
APA, Harvard, Vancouver, ISO, and other styles
10

Tongbram, Purnachandra, and Chandra Upadhyaya. "POTENTIAL SITE SUITABILITY ANALYSIS OF SMALL HYDROPOWER PLANT IN IRANG RIVER CATCHMENT, MANIPUR, INDIA: A GEO-SPATIAL AND MCDM APPROACH." International Journal of Engineering Applied Sciences and Technology 7, no. 3 (July 1, 2022): 129–35. http://dx.doi.org/10.33564/ijeast.2022.v07i03.020.

Full text
Abstract:
India being one of the leading developing country where 80% of its energy or power supply are produced by fossil fuel: coal, oil and solid biomass. Using of fossil fuel-based power led to environmental degradation and to reduce it an alternative power source is required. Amongst the alternate source, Hydropower is the most suitable source for power supply. Hydropower is one of the oldest renewable power sources where it generates power from the flow of water by converting its gravitational flow or potential energy of water source into electricity. Due to roughness and inaccessible of terrain of the study area, the use of conventional method becomes almost impossible. With the help of new innovative methodologies and techniques of Remote Sensing (RS) and Geographic Information System (GIS) this study has been carried out. In this study nine geo-spatial inputs are used to find the site suitable for small hydropower (SHP) project. The multi criteria decision making (MCDM) techniques is used to evaluate the input’s weights. After the weight is obtained for each input, it is overlaid according to its weight using overlay tool to obtained the site suitable for SHP project. The outcome of this study allows spotting identification of SHP potential zone
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Spatial MCDM techniques"

1

Mosadeghi, Razieh. "A Spatial Multi-Criteria Decision Making Model for Coastal Land Use Planning." Thesis, Griffith University, 2013. http://hdl.handle.net/10072/367691.

Full text
Abstract:
Modern planning theories encourage approaches that consider different stakeholders with a variety of discourse types and values to minimise politically motivated and single interest dominated decisions. Quantitative approaches such as Multi-criteria Decision Making (MCDM) techniques combined with GIS have been applied successfully in a number of land suitability analysis and environmental planning and management scenarios. The use of spatial MCDM techniques can improve the transparency and analytic rigor of the future land use decisions. In the last decade, applications of the MCDM techniques in GIS-based land suitability procedures have increased, however, applying these techniques at large-scale planning processes is rare. This highlights the need for examining how quantitative approaches such as MCDM techniques can integrate and therefore improve local planning and decision-making outcomes. This study is considered to be the first that by using a realistic and detailed set of criteria and group decision making, compares two MCDM techniques (analytical hierarchy procedure (AHP) Fuzzy AHP) in defining the extent of land-use zones at a large scale in Australia. The presented approach is particularly helpful in situation where local decision-makers are left with considerable room for discretion during the political transitions. Consequently, this research examines the application of MCDM methods in local land use planning for a 17,500 ha area, controlled by four local government areas (LGAs) in the northeast Gold Coast, located in southeast Queensland, Australia.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith School of Environment
Science, Environment, Engineering and Technology
Full Text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Spatial MCDM techniques"

1

Mallik, Santanu, Shivam, and Umesh Mishra. "Assessment of Spatial Variations in Groundwater Quality of Agartala, Tripura for Drinking Employing GIS and MCDA Techniques." In Lecture Notes in Civil Engineering, 273–88. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7067-0_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kumlu, Kadriye Burcu Yavuz, and Şule Tüdeş. "Multi Criteria Decision Making Techniques in Urban Planning and Geology." In Advances in Civil and Industrial Engineering, 530–68. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2709-1.ch015.

Full text
Abstract:
In this paper, Multi Criteria Decision Making (MCDM) processes will be clarified in the context of the disciplines related with the spatial information, as urban planning and its geographical perspective. For this purpose, first Spatial MCDM will be introduced, then the relation between the geographical data and GIS is established. Therefore, following sections include the detailed explanation of three widely used Spatial MCDM techniques, as Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). These techniques will be clarified by giving examples related with urban planning and geological science.
APA, Harvard, Vancouver, ISO, and other styles
3

Elhosni, Soumaya, and Sami Faiz. "GIS-Based Evolutionary Approaches Using Multiple-Criteria Decision Analysis for Spatial Issues." In Interdisciplinary Approaches to Spatial Optimization Issues, 49–61. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-1954-7.ch003.

Full text
Abstract:
Geographic information systems (GIS) have been considered as good decision support tools to provide the decision maker (DM). However, their spatial data functionalities fail to provide any report about the potentials of the information and cannot make rational choice between conflicting alternatives. Literature review shows that the integration of GIS with multiple-criteria decision analysis (MCDA) makes GIS more robust in decision making process. While MCDA are used to support DMs to deal and solve spatial multi-objective optimisation problems (SMOPs), the use of their methods are suited for eliciting the preferences of small group of stakeholders. Unlike to MCDA, Multi-Objective Evolutionary Algorithms (MOEA) perform well on solving SMOPS conflicting objectives since only one iteration of the algorithm gives rise to a set of trade-off solutions. However, only choosing better compromise doesn't completely solve the problem. Recently, a growing interest in combining MCDA and MOEA techniques has been seen. The chapter approaches the idea of integration of GIS, MOEA, and MCDA to solve SMOP.
APA, Harvard, Vancouver, ISO, and other styles
4

Shamshiry, Elmira, Abdul Mumin Abdulai, Mazlin Bin Mokhtar, and Ibrahim Komoo. "Regional Landfill Site Selection with GIS and Analytical Hierarchy Process Techniques." In Handbook of Research on Cultural and Economic Impacts of the Information Society, 248–82. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8598-7.ch011.

Full text
Abstract:
Increasing population and urbanization pose a huge challenge for municipal authorities to select suitable landfill site to dispose the increasing quantities of solid waste. Wrong landfill siting can result in social, environmental and economic cost. Therefore, suitable approaches are required to select landfill sites because that can enhance sound waste disposal practice in the fast-growing urban areas. The Geographic Information System based Multi-criteria Decision Analysis has been used in this chapter to examine the essentials of an effective site selection. GIS-based MCDA is an intelligent system that transforms spatial data into valuable information which can be used to make critical decisions. The analytical hierarchy process is utilized to assist the prioritization process. In Langkawi, disposal of municipal solid waste into open sites could lead to different adverse impacts on public health and the physical environment. This paper represents simple but effective method to assist landfill site selection efforts in the Langkawi.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Spatial MCDM techniques"

1

Han, Qilong, Dan Lu, and Rui Chen. "Fine-Grained Air Quality Inference via Multi-Channel Attention Model." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/346.

Full text
Abstract:
In this paper, we study the problem of fine-grained air quality inference that predicts the air quality level of any location from air quality readings of nearby monitoring stations. We point out the importance of explicitly modeling both static and dynamic spatial correlations, and consequently propose a novel multi-channel attention model (MCAM) that models static and dynamic spatial correlations as separate channels. The static channel combines the beauty of attention mechanisms and graph-based spatial modeling via an adapted bilateral filtering technique, which considers not only locations' Euclidean distances but also their similarity of geo-context features. The dynamic channel learns stations' time-dependent spatial influence on a target location at each time step via long short-term memory (LSTM) networks and attention mechanisms. In addition, we introduce two novel ideas, atmospheric dispersion theories and the hysteretic nature of air pollutant dispersion, to better model the dynamic spatial correlation. We also devise a multi-channel graph convolutional fusion network to effectively fuse the graph outputs, along with other features, from both channels. Our extensive experiments on real-world benchmark datasets demonstrate that MCAM significantly outperforms the state-of-the-art solutions.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Spatial MCDM techniques' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography