scholarly journals A New Hybrid Decision Making Approach for Housing Suitability Mapping of an Urban Area

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Mithat Zeydan ◽  
Bülent Bostancı ◽  
Burcu Oralhan
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Geographical Information ◽  
Combination Method ◽  
Evolutionary Strategy ◽  
Residential Areas ◽  
Fuzzy Dematel ◽  
Covariance Matrix Adaptation

In urban planning, housing evaluation of residential areas plays a critical role in promoting economic efficiency. This study produced an evolutionary-based map through the combination of hybrid Multicriteria Decision Making (MCDM) and Geographical Information System (GIS) by assessing suitability of housing location. Suitable locations were modelled and determined with the present study from very low suitability to very high suitability. In the first stage, Fuzzy DEMATEL (the Decision Making Trial and Evaluation Laboratory) and Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) under fuzzy conditions as a subjective and an objective (model-based) technique, respectively, were employed to find the weights of criteria which are critical part of decision making. In the second stage, housing evaluation map for these two approaches was drawn and their performances were classified and measured with WLC (Weighted Linear Combination) method. 29 criteria determined were prioritized as per judgment of urban planning and real estate experts for Fuzzy DEMATEL and CMA-ES. After having been coded to MATLAB for obtaining optimum weights in CMA-ES, all collected data for 160 houses were mapped as vectorial (positional) and transformed to raster (pixel) data by getting entered in ArcGIS 10.4 software. We achieved CMA-ES-WLC maximization values for 104 alternatives with (positive value) 65% performance, but we obtained FDEMATEL-WLC maximization values for 56 alternatives with (negative value) 35% performance. WLC values calculated with CMA-ES and FDEMATEL weights allowed us to conclude that the houses with the highest suitability in terms of investment are in Alpaslan, Köşk, and Melikgazi streets. The result shows that the methodology used in the application of this study performed in Turkey is an important and powerful technology in providing decision support for spatial planning.

Fuzzy Multicriteria Decision Making Methodologies Used in the Book

2020 ◽  
pp. 92-131
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Suitable Model ◽  
Fuzzy Dematel ◽  
Multicriteria Decision ◽  
Fuzzy Vikor

Using an appropriate methodology is crucial in the analysis. Therefore, the suitable model should be selected according to the type of the evaluation. Otherwise, there is a risk of having inappropriate results. Because of this situation, recommendations can be problematic. In this book, three different analyses are performed. In two of them, fuzzy DEMATEL, fuzzy TOPSIS, and fuzzy VIKOR approaches are taken into consideration. In this chapter, these three methods are explained. In this framework, some studies, which used these methods, are explained.

scholarly journals Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Selection Process ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Critical Factor ◽  
Unmanned Systems ◽  
Multicriteria Decision ◽  
Aerial Vehicles ◽  
Selection Of

The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments. One of the unmanned systems is unmanned aerial vehicles (UAVs). UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions. These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration. The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles. This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process. Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem. Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. Finally, the validation and sensitivity analysis of the solution are made and discussed.

scholarly journals Visualisation Techniques For Facilitating Stakeholder Decision Making In Urban Planning

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Andrew J Rixon ◽  
Stewart Burn
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Geographical Information Systems ◽  
Local Community ◽  
Software Tool ◽  
Geographical Information ◽  
Traffic Flows ◽  
Urban Context ◽  
Decision Making Processes

Public participatory geographical information systems (PPGIS) are becoming widely recognised as powerful tools for informed participatory decision-making processes within urban planning projects. This paper discusses a technique recently used within a case study for providing visualisations of traffic flows and how to incorporate local community perceptions of their neighbourhoods into a PPGIS software tool. In particular, the paper demonstrates a new methodology for visualisation of qualitative social data, facilitating dialogue and discussion amongst stakeholders and planning professionals in an urban context. The paper concludes with a discussion on techniques for developing software and presenting visualisations in an understandable and usable manner catering for a diversity of participants.

Using the fuzzy multicriteria decision making approach to evaluate brand equity: a study of privatized firms

2019 ◽  
Vol 29 (3) ◽  
pp. 335-354
Author(s):  
Hasan Dinçer ◽  
Tuba Bozaykut-Buk ◽  
Şenol Emir ◽  
Serhat Yuksel ◽  
Nicholas Ashill
Keyword(s):  
Decision Making ◽  
Text Mining ◽  
Brand Equity ◽  
Business Performance ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Privatized Firms

Purpose The purpose of this paper is to present a multidimensional evaluation of brand equity performance incorporating dimensions adopted from the balance scorecard (BSC) approach to business performance. Design/methodology/approach In this study, text mining is used for automatic extraction of valuable information from textual data such as the financial reports of firms. Instead of expert opinions, linguistic scales built upon outcomes of text mining are used as inputs for decision-making. The proposed model combines fuzzy DEMATEL (FDEMATEL), fuzzy ANP (FANP), fuzzy TOPSIS (FTOPSIS) and fuzzy VIKOR (FVIKOR) methods for weighting criteria and ranking alternatives. Findings Using data from five privatized firms in Turkey, the study’s findings demonstrate that the customer is the most important dimension of brand equity performance evaluation. Cash flow and brand loyalty are identified as the most important criteria in the measurement of brand equity performance. Practical implications Findings highlight the importance of firms taking action to increase consumer perceptions, attitudes and behaviors in the privatization processes. For this purpose, privatized firms need to understand the expectations of customers to increase customer satisfaction and loyalty and therefore improve brand equity. Originality/value The paper contributes to literature in several important ways. First, by adopting the BSC approach, it proposes a holistic and a multidimensional model for measuring brand equity performance. Second, the study offers a novel methodology using a hybrid multi-criteria decision-making model designed for the fuzzy environment. Third, the study uses the knowledge extraction tool of text mining in the fuzzy decision-making process. Finally, the study evaluates the brand equity performance of privatized firms in an emerging country context.

scholarly journals A Hybrid Fuzzy Multi-Criteria Decision-Making Model to Evaluate the Overall Performance of Public Emergency Departments: A Case Study

2020 ◽  
Vol 19 (06) ◽  
pp. 1485-1548
Author(s):  
Miguel Ortiz-Barrios ◽  
Juan-Jose Alfaro-Saiz
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Emergency Departments ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Fuzzy Decision Making ◽  
Analytic Hierarchy ◽  
Interactive Nature ◽  
Criteria Weights ◽  
Public Emergency

Performance evaluation is relevant for supporting managerial decisions related to the improvement of public emergency departments (EDs). As different criteria from ED context and several alternatives need to be considered, selecting a suitable Multicriteria Decision-Making (MCDM) approach has become a crucial step for ED performance evaluation. Although some methodologies have been proposed to address this challenge, a more complete approach is still lacking. This paper bridges this gap by integrating three potent MCDM methods. First, the Fuzzy Analytic Hierarchy Process (FAHP) is used to determine the criteria and sub-criteria weights under uncertainty, followed by the interdependence evaluation via fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL). The fuzzy logic is merged with AHP and DEMATEL to illustrate vague judgments. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking EDs. This approach is validated in a real 3-ED cluster. The results revealed the critical role of Infrastructure (21.5%) in ED performance and the interactive nature of Patient safety ([Formula: see text]). Furthermore, this paper evidences the weaknesses to be tackled for upgrading the performance of each ED.

scholarly journals Hydro-morphometric characterization and prioritization of sub-watersheds for land and water resource management using fuzzy analytical hierarchical process (FAHP): a case study of upper Rihand watershed of Chhattisgarh State, India

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Milan Ghosh ◽  
Dipti Gope
Keyword(s):  
Decision Making ◽  
Water Resource ◽  
Water Resource Management ◽  
Multicriteria Decision Making ◽  
Morphometric Parameters ◽  
Geographical Information ◽  
Fuzzy Membership Function ◽  
Analytical Hierarchical Process ◽  
Morphometric Characterization ◽  
Soil And Water

AbstractRihand reservoir is continuously experiencing siltation due to erosion in upper basin; thus study of morphometric-based prioritization of sub-watershed has become prerequisite for implementation of measures for conservation of soil and water resource. In present study an attempted has been made to analyze characterization and prioritization of sub-watersheds in upper basin of Rihand watershed based on hydro-morphometric parameters, in an environment of Geographical Information System (GIS), with the help of Multicriteria Decision Making through Fuzzy Analytical Hierarchy Process (FAHP) techniques in order to identify critical sub-watersheds for conservation and management of soil and water resource. The morphometric characterization has been done through measurement of linear, areal and relief aspect of over seven sub-watersheds using SOI topographical sheet and SRTM data with the help of Q GIS 3.10 and White box software. In the purpose prioritization of sub-watersheds FAHP method has been implemented through assigning fuzzy membership function to each of 15 morphometric parameters by deriving their relationships with erosional hazard and criterion weight has been obtained using Saaty’s (Fundamentals of decision making and priority theory with analytical hierarchical process, RWS Publications University of Pittsburgh, Pittusburgh, 1980) proposed method. Based on prioritization approach the entire sub-watershed has divided into 3 vulnerable zones, i.e., high, medium and low. This study reveals that about 29% area of the watershed is falls under high vulnerable zone as they obtained high priority value and required immediate measures. In addition, ideal locations for measure structure to prevent soil erosion and maximize infiltration has been proposed which will be useful to the decision maker for land and water resource conservation, management, and sustainable agricultural development.

HIGH-RAISED BUILDINGS IN URBAN AREA CONTRIBUTES TO THE SNATCH THEFT INCIDENTS

2017 ◽  
Vol 3 (2) ◽  
pp. 65
Author(s):  
Anith Nabilah Mustafa ◽  
Siti Rasidah Md Sakip
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Urban Area ◽  
Statistical Data ◽  
3D Modelling ◽  
Geographical Information ◽  
Residential Areas ◽  
Development Area ◽  
Crime Reports ◽  
Index Crime

Snatch theft incidents are on the rise in Malaysia especially in the cities. It tends to happen in cities because there is a possibility to commit it and both crime and urban are often associated with each other. The aim of this paper is to find out whether the building with two or more levels in urban area contributes to the snatch theft incidents. The present study has been taken up to detect the hotspots of snatch theft in Selangor, Malaysia. The crime data were obtained by requesting and analysing the index crime statistical data from the Royal Malaysian Police (RMP). This study made use of the Geographical Information System (GIS) where its 3D modelling function to construct, assess and analyse the area with high snatch theft cases. The crime reports of 2010 until 2015 were geocoded and the crime maps were prepared in ArcGIS 10.2. It was found that the hotspot area is a mix-used development area which consists mainly of commercial and residential areas of more than two-level buildings. 

DATABASE DESIGN FOR E-GOVERNANCE APPLICATION: A FRAMEWORK FOR THE MANAGEMENT INFORMATION SYSTEMS OF THE VIETNAM COMMITTEE FOR ETHNIC MINORITY AFFAIRS

2017 ◽  
Author(s):  
Nguyen Viet Hung ◽  
Phan Van Hung ◽  
Be Trung Anh
Keyword(s):  
Decision Making ◽  
Information System ◽  
Ethnic Minority ◽  
Ethnic Minorities ◽  
Good Governance ◽  
Local Governance ◽  
Geographical Information ◽  
Base System ◽  
Challenges And Opportunities ◽  
Competency Based

Data mode “good governance” developed in the last century for process of sustainable base system, providing basic information and on-line services, supports the development, challenges and opportunities in the context of globalization and integration. In this paper I discuss a framework for the design of e-Local Governance (eLG) that integrates Information System (IS), Geographical Information System (GIS) and Atlas with focus on ethnic minorities in Vietnam. The design framework is based on various classifications such categories as sex, age, ethnic group, education background and income. The database system is built to enhance the Committee for Ethnic Minority Affairs (CEMA) capabilities in the planning and decision making process by providing the authorities with data, internet GIS, internet communication and some ecological economic models to disseminate results to the ethnic minorities. The unique feature of the CEMADATA using GIS is that it helps users not only to improve the public services and to provide information and encourage ethnic minorities to participate in decision making processes, but also to support the competency-based training for IT staff

Multi-Criteria Decision Making for Vulnerability Mapping of Flood Hazard: A Case Study of Pune City

2019 ◽  
Vol 2 (1) ◽  
pp. 41-52
Author(s):  
Nitin Mundhe
Keyword(s):  
Decision Making ◽  
Flood Hazard ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Flood Hazards ◽  
Very High Frequency ◽  
Flood Vulnerability ◽  
Natural Risk ◽  
The Town

Floods are natural risk with a very high frequency, which causes to environmental, social, economic and human losses. The floods in the town happen mainly due to human made activities about the blockage of natural drainage, haphazard construction of roads, building, and high rainfall intensity. Detailed maps showing flood vulnerability areas are helpful in management of flood hazards. Therefore, present research focused on identifying flood vulnerability zones in the Pune City using multi-criteria decision-making approach in Geographical Information System (GIS) and inputs from remotely sensed imageries. Other input data considered for preparing base maps are census details, City maps, and fieldworks. The Pune City classified in to four flood vulnerability classes essential for flood risk management. About 5 per cent area shows high vulnerability for floods in localities namely Wakdewadi, some part of the Shivajinagar, Sangamwadi, Aundh, and Baner with high risk.

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