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A Decision Support System for Selection of Solar Power Plant Locations by Applying Fuzzy AHP and TOPSIS: An Empirical Study  [PDF]
Athakorn Kengpol, Piya Rontlaong, Markku Tuominen
Journal of Software Engineering and Applications (JSEA) , 2013, DOI: 10.4236/jsea.2013.69057
Abstract:

The objective of this research is to propose a decision support system for avoiding flood on solar power plant site selection. Methodologically, the geographic information system (GIS) is used to determine the optimum site for a solar power plant. It is intended to integrate the qualitative and quantitative variables based upon the adoption of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model. These methods are employed to unite the environmental aspects and social needs for electrical power systematically. Regarding a case study of the choice of a solar power plant site in Thailand, it demonstrates that the quantitative and qualitative criteria should be realized prior to analysis in the Fuzzy AHP-TOPSIS model. The fuzzy AHP is employed to determine the weights of qualitative and quantitative criteria that can affect the selection process. The adoption of the fuzzy AHP is aimed to model the linguistic unclear, ambiguous, and incomplete knowledge. Additionally, TOPSIS, which is a ranking multi-criteria decision making method, is employed to rank the alternative sites based upon overall efficiency. The contribution of this paper lies in the evolution of a new approach that is flexible and practical to the decision maker, in providing the guidelines for the solar power plant site choices under stakeholder needs: at the same time, the desirable functions are achieved, in avoiding flood, reducing cost, time and causing less environmental impact. The new approach is assessed in the empirical study

Multi-Criteria Optimisation of Landfill Site Selection Using AHP-TOPSIS-SWARA: A Case Study of Chegutu Municipality  [PDF]
Anold Anotida Mvembe, Trust Tawanda, Godfrey Muzuka, Innocent Jenje
American Journal of Operations Research (AJOR) , 2025, DOI: 10.4236/ajor.2025.155009
Abstract: This study presents an integrated Multi-Criteria Decision-Making (MCDM) framework for sustainable landfill site selection in Chegutu Municipality, Zimbabwe. Combining the Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Stepwise Weight Assessment Ratio Analysis (SWARA), the research evaluates three potential sites against environmental, social, economic, and technical criteria. Data were collected through expert questionnaires (n = 7) and geospatial analysis, with weights derived via AHP OS software and rankings computed using Python. Results identified Site 2 as optimal (45.3% final score), demonstrating superior performance in critical environmental factors: slope gradient (1.5%), water source proximity (6834.82 m), and settlement distance (3220 m). The hybrid methodology proved particularly effective in resolving conflicts between technical and social priorities, with environmental criteria carrying 61.1% weight in the AHP analysis. The study demonstrates how integrated MCDM approaches can improve municipal waste management decisions by systematically balancing ecological protection, public health concerns, and operational feasibility. Findings provide a transferable model for landfill site selection in developing urban contexts while highlighting the value of combining quantitative tools.
An Airfield Minimum Operating Strip Selection Method Based on the TOPSIS Method
- , 2014, DOI: http://dx.doi.org/10.3968/5022
Abstract: With Multiple Attribute Decision Making (MADM) method, the selection of airfield Minimum Operating Strip (MOS) schemes is researched. The influencing factors of the selection decision making are analyzed. The weight values of these factors are determined. Then the decision making optimization method based on TOPSIS is presented. At last, the feasibility of the method is validated with a calculation example.
基于熵权的TOPSIS法的港口军事运输能力评估
Military transport capacity evaluation of ports using entropy weight and TOPSIS
张静,张智慧,李小冬,孙奇,乔伟
- , 2018, DOI: 10.16511/j.cnki.qhdxxb.2018.22.027
Abstract: 港口具有经济与国防双重属性，可同时为两者服务，但是目前对港口的评估多侧重于经济属性评估，而对港口国防属性的定量评估几乎没有。该文基于熵权的逼近理想解排序（TOPSIS）法评估港口的军事运输能力。指标体系的选取是依据现场调研、文献综述及参考美军的战略港口需求指标，同时综合国内军事运输特点等构建而成。采用基于熵权的TOPSIS法对全国范围内不同区域的27个不同规模的港口进行军事运输能力评估，得出27个港口军事运输能力评估排名，发现现有的港口建设以经济建设为主，较少考虑国防要求，只有少数港口涉及了军民融合式建设内容，如大连港等，相应地，其军事运输能力也领先。
Abstract：There were few quantitative studies of port capacities for military transport with most focusing on the economic efficiency and civilian capacity although the ports often provide military sealift transport services. This study used a quantitative assessment method using entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to assess the military transport capacity. Indicators were defined to evaluate the port capacity from literature data and the Chinese military transport features. The methodology was then used to rank the military transport capacity of 27 coastal ports in China. The findings show that most Chinese ports pay little attention to military transportation. Only a few ports integrate military and civilian transport, such as Dalian which has the greatest military transport capacity.
A Context Aware Vertical Handover Algorithm for Vehicular Communication
Sourav Dhar,Amitava Ray,Rabindra Nath Bera
International Journal of Electronics, Computer and Communications Technologies , 2011,
Abstract: “Always best connected” communication is the principal requirement for Intelligent Transportation System (ITS), which is a subset of 4G, to ensure vehicular safety. The next generation communication is characterized by heterogeneous radio access networks. The heterogeneous co-existence of access technologies with largely different characteristics creates a decision problem for determining best available network at a particular instant of time. A context aware vertical handover algorithm for vehicular communication is presented here. Integrated AHP (Analytic Hierarchy Process)-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is used for the development of algorithm and MATLAB/SIMULINK is used as simulation platform. Dynamic factors like received signal strength, and speed of the vehicle, static factors like initial delay for connection establishment, cost of service and user preference of application are considered. Sensitivity analysis is done to justify the design of the algorithm. This algorithm is specific to vehicular communication system and hence variation in network selection at different vehicle speed is shown.
A Hybrid MCDM Model with Interval Weights and Data for Convention Site Selection
M. Amiri,M. Zandieh,B. Vahdani,M. Yazdani
Journal of Applied Sciences , 2008,
Abstract: In this study, we present a hybrid Multi-Criteria Decision Making (MCDM) model to solve convention site selection. In the proposed model, interval comparison matrix which has been inspired by Analytical Hierarchy Process (AHP) is employed to compare the criteria against each other. Furthermore, to calculate the interval weights of criteria, we make use of Goal Programming (GP). Moreover, interval data is utilized to evaluate the alternatives with respect to the criteria. In order to rank the alternatives with respect to criteria, technique for order preference by similarity to an ideal solution (TOPSIS) with interval data and weights is used. In the conditions where there exist uncertainties for both the comparison of criteria against each other and alternatives evaluation with respect to influential criteria in the process of decision making, using this model facilitates the decision making process and causes the quality of decision will be enhance.
基于TOPSIS方法的居民区电动汽车有序充电策略
师瑞峰,梁子航,马源
- , 2018,
Abstract: 针对中国目前超大城市电动汽车保有量的快速增长与现有配电网制约用户充电需求的矛盾，提出了一种基于理想解法的居民区电动汽车有序充电策略，以最大限度调配现有可用的电能资源。通过分析电动汽车出行规律，建立了居民区电动汽车出行、返回、等待、充电的数学模型。在综合考虑充电时间、充电费用、等待时间、充电完成率、小区总负荷变化率等决策指标基础上，建立了基于理想解法的有序充电排序方法，并通过算例仿真进一步对比了分时电价策略下峰谷电价对用户充电行为的影响。仿真结果表明，与现有网格选取法有序充电结果相比，该方法可在保证电动汽车充电完成率和稳定居民区负荷前提下，更好地兼顾电动汽车充电的连续性、便捷性和经济性，为居民区停车场电动汽车有序充电管理提供决策依据
Proposing a new methodology for prioritising the investment strategies in the private sector of Iran
Kazimieras Zavadskas, Edmundas,Shariati, Shahram,Yakhchali, Siamak Haji,Yazdani-Chamzini, Abdolreza
- , 2014, DOI: 10.1080/1331677X.2014.947150
Abstract: Sa？etak This article proposes a systematic and organised approach for group decision-making in the presence of the uncertainty involved in expert judgments as used in multi-criteria decision-making (MCDM) issues. This procedure comprises the selection of the optimum alternative with respect to the evaluation criteria under consideration, in particular to select the strategy of investing. However, the selection of the investment strategy is difficult on account of considering the numerous quantitative and qualitative parameters like benefits, opportunities, costs, and risks. However, it is possible that these parameters have a significant influence on each other. A decision-making trial and evaluation laboratory (DEMATEL), used to define the influential network of elements, can be employed to construct a network relationship map (NRM). On the other hand, according to whether the information is incomplete or unavailable, uncertainty is an inseparable part of making decision for solving the MCDM problems. Therefore, this article proposes a new hybrid model based on analytic hierarchical process (AHP), DEMATEL, and echnique for Order of Preference by Similarity to Ideal Solution (TOPSIS) techniques under fuzzy environment to evaluate the problem of the selection of the investment strategy. To achieve the aim, a three-step process is presented to solve a sophisticated problem. First, the AHP method is employed to break down the investment problem into simple structure and calculate the importance weights of criteria by using a pairwise comparison process. Second, the DEMATEL technique is applied for considering interdependence and dependencies and computing the global weights of benefit, opportunities, cost, and risk (BOCR) factors. Finally, the fuzzy TOPSIS methodology is used for prioritising the possible alternatives. To demonstrate the potential application of the proposed model, a numerical example is illustrated and investigated. The results show that the proposed model has a high ability to prioritise the strategies of investing
一种面向敏感信息处理的敏感度度量方法
沙乐天 傅建明 陈 晶 黄诗勇
- , 2014,
Abstract: 应用软件一般需要输入和处理敏感信息，如密码，以实现用户和远程..
基于RS-TOPSIS的空中目标威胁评估
Air target threat evaluation based on RS-TOPSIS
杨远志,于雷,周中良,阮铖巍
- , 2018, DOI: 10.13700/j.bh.1001-5965.2017.0342
Abstract: 摘要 空中目标威胁评估是地面防空系统武器配置和资源管理的基础。针对威胁评估的实时性和人为主观性等问题，在综合粗糙集（RS）理论和逼近理想解排序法（TOPSIS）的基础上，建立了RS-TOPSIS空中目标威胁评估模型。通过RS理论对目标属性赋权，减少人为主观因素的影响与对先验信息的需求，进而结合TOPSIS分析贴近度并计算得到目标威胁程度。模型基于数据驱动，易于实现并具备良好的实时性。仿真结果表明该方法能有效评估目标威胁程度，为空中目标威胁程度的实时评估提供了一种新的工程决策方法。
Abstract：Air target threat evaluation is the foundation for weapon allocation and resource management within the ground surface air defense system. Aimed at the problems of real-time and human subjectivity for threat evaluation, an air target threat evaluation model based on RS-TOPSIS is established according to combining rough set (RS) theory and technique for order preference by similarity to ideal solution (TOPSIS). RS theory which can avoid the influence of subjective factors and the requirement for prior information is used to determine the weight of target attribute, then close degree is analyzed with TOPSIS, and threat degree of air target is obtained. The model driven with data is easy to implement and has good real-time performance. The simulation results show that this method can effectively evaluate the threat degree and thus provides a new engineering decision-making method for real-time evaluation of air target threat degree.
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