Analytical hierarchy process model for managing cloud security

Objectives: This article shows the application of the Analytical Hierarchical Process to select conveyance in a company that distributes Cement Blocks. Methodology: The Analytical Hierarchical Process was applied taking into account the criteria, Variable Cost, Service, Capacity and Reliability, and conveyance that fit the characteristics of the municipality and the company. Findings: The Process, which allowed to evaluate these criteria and based on these determine the prioritization of the alternatives and the selection of the most efficient method according to the selected criteria. Application / Improvements: The Analytical Hierarchical Process (AHP) is a tool which allows supporting Decision Making, by analysing multiple criteria and depending on their relationship, obtaining a hierarchy in the alternatives, being the one with the greatest impact or hierarchy the decision to choose. Keywords: Alternatives, Analytical Hierarchical Analysis Process, Criteria, Hierarchy, Transportation MeansAHP

Optimal VAr pricing and VAr placement using analytic hierarchical process

Groundwater resource utilization in many developing countries, including Ethiopia, is significantly constrained by limited information on its quality and quantity, often due to challenges associated with geophysical and hydrogeological assessments. In recent years, geographic information system (GIS) and remote sensing (RS) technologies have emerged as valuable tools for understanding the spatial distribution of groundwater resources, aiding in their planning, exploration, monitoring, and management. Thus, this study aims to delineate potential groundwater availability zones in the Angereb Watershed, located in northwestern Ethiopia, using a geospatial approach integrated with multi-criteria evaluation (MCE) and the analytical hierarchical process (AHP) model. Multiple thematic layers were prepared from various data sources, including Landsat 8 OLI, Shuttle Radar Topography Mission (SRTM), geological maps, soil, and rainfall data. Key factors influencing groundwater availability namely drainage density, lineament density, lithology, slope, soil type, mean annual rainfall, and Normalized Difference Vegetation Index (NDVI) were selected and weighted using the AHP model within ArcGIS 10.3. The analysis identified lithology, lineament density, slope, and drainage density as dominant factors, collectively accounting for approximately 85.3% of the influence on groundwater potential. The final groundwater potential index (GWPI) map categorized the study area into four zones: very high (0.1%; 546ha), high (12.5%; 93,404ha), medium (79.4%; 592,302ha), and low (8%; 59,818ha) potential. The high-potential zones were primarily located in the northwestern and southern regions, influenced largely by favorable geological and physiographic conditions. The predictive performance of the GWPI map was validated using the receiver operating characteristic (ROC) curve and area under the curve (AUC) analysis, yielding an AUC value of 0.83, indicating strong model reliability. This study demonstrates that the integration of MCE with GIS and remote sensing techniques, supported by AHP, offers a cost-effective and reliable method for delineating groundwater potential zones and can serve as a valuable tool for groundwater management and planning in similar data-scarce environments.

Purpose This study was undertaken to assess and analyse the factors that influence consumers’ choice of African textile prints (ATPs) using a multi-criteria decision making (MCDM) framework, specifically, the analytical hierarchical process (AHP). Design/methodology/approach A survey, using quantitative research design involving 558 participants, was conducted using closed-ended questionnaires. The data was analysed using the AHP technique by making pairwise comparisons of the identified factors and determining the relative importance of each factor. Findings The design pattern factor was found to be the most determining factor in selecting ATPs by consumers. The affordability and durability of the ATPs followed closely to design as important factors influencing consumers’ decision-making in purchasing ATPs. The demographic dynamics on the choice of ATP brands revealed an interesting phenomenon, where premium brands like Vlisco and Woodin are attracted to more selective demographics, particularly those with higher education levels and female marketers. Research limitations/implications This research offers practical insight into the complex demographic dynamics of consumer preferences for the wide variety of ATPs present in the Ghanaian market. Practical implications The application of AHP in understanding consumer preferences for ATPs will enable designers and manufacturers to make informed, strategic decisions that align with consumer preferences and cultural significance. Originality/value To the best of the authors’ knowledge, this study is the first of its kind to apply AHP to decipher the intricate dynamics of consumers' decision-making in the purchase of ATPs.

Land use land cover change (LULCC) processes are directly or indirectly product of underlying causative factors playing out on the landscape. This study examines the contributing factors responsible for LULCC in Jos Plateau state using two different methods. The Analytical hierarchical process (AHP) and Binary models were used to prepare sixteen (16) suspected external driving factors (EDFs). Euclidean distance analysis was carried out on the proximity EDFs as well as reclassification based on AHP scale 1 – 9 and binary mode as 1 & 0. Saaty’s pairwise comparison matrix was employed to generate the weights for all the EDFs with a consistency index (CI) of 0.17was achieved. Suitability images were generated by multiplying each EDF with the corresponding weight. The fuzzy set membership standardization was carried out on the AHP image through sigmoidal function type with monotonically increasing membership function.The multiple regression technique was used to measure the sensitivity of each driver against the change period (1986 – 2019). The result shows that five (5) EDFs where consistent in both approaches (AHP & Binary). They are: distance to conflict areas, distance to major roads, LULC, distance to settlements and distance to river/ channels. It is therefore, appropriate to examine EDFs to know how each driver is contributing to the changing landscape in the study area. The findings has revealed the main factors driving LULC changes in the study area and has provided a reference frame for assisting in the development of sustainable land management and ecological protection policy making and decisions.

Abstract— Information technology has the potential to improve the quality of certain situations. In addition to being classified as aninformation-organizing process, it also identifies integrated system components, ensuring that the organization's operations are moreefficient, efficient, and efficient. A system that turns data into invaluable information is necessary to obtain information. This suggeststhat computers play an important role in computer-based information systems. In Pulogadung, East Jakarta, you will find Al-BarokahGrocery Store. As a result, the ultimate goal of the system is the achievement of the company's goals, namely to achieve the desired levelof profit. Complex problems can be broken down into groups by the Analytical Hierarchical Process (AHP) method, which can then beorganized in a hierarchy,giving the impression that the problem is more organized and systematic. Meanwhile, the purpose of thedecision-making system is to ensure that the merchandise inventory process runs smoothly. The company will get a lot of profit andbecome more organized by using computerized systems. Keywords— Technology, Decision Support System, Analytical Hierarchical Process (AHP). Abstrak—Teknologi informasi memiliki potensi untuk meningkatkan kualitas situasi tertentu. Selain diklasifikasikan sebagaiproses pengorganisasian informasi, juga mengidentifikasi komponen sistem yang terintegrasi, memastikan bahwa operasi organisasi lebihefisien, efisien, dan efisien. Sebuah sistem yang mengubah data menjadi informasi yang sangat berharga diperlukan untuk mendapatkaninformasi. Hal ini menunjukkan bahwa komputer memainkan peran penting dalam sistem informasi yang berbasis komputer. DiPulogadung, Jakarta Timur, Anda akan menemukan Toko Grosir Al-Barokah. Akibatnya, tujuan akhir sistem adalah pencapaian tujuanperusahaan, yaitu untuk mencapai tingkat laba yang diinginkan. Masalah yang kompleks dapat dipecah menjadi beberapa kelompok denganmetode Analytical Hierarchical Process (AHP), yang kemudian dapat diatur dalam hierarki, memberikan kesan bahwa masalahnya lebihterorganisir dan sistematis. Sementara itu, tujuan sistem pengambilan keputusan adalah untuk memastikan bahwa proses inventaris barangdagangan berjalan lancar. Perusahaan akan mendapatkan banyak keuntungan dan menjadi lebih terorganisir dengan menggunakan sistemkomputerisasi. Kata Kunci— Teknologi, Sistem Pengambilan keputusan, Analytical Hierarchical Process (AHP).

Objective of grinding process is to generate high quality surface finish on work piece. There are many parameters which influence on the work piece roughness. Work piece material and characteristics, grinding wheel specification, grinding conditions and dressing conditions influence on the surface quality of the work piece. Selection of grinding wheel is important aspect for producing good quality of surface finish on the work piece. The main components of grinding wheel are the abrasive grains, bond material and porosity. Selection of correct grinding wheel is necessary for generating better surface finish on the work piece. Analytical Hierarchical Process (AHP) is used for ranking of vitrified bond grinding wheel parameters on surface roughness on the work piece in sub sequent grinding operation. The grit, grade, (Hardness of wheel) structure and type of abrasive are critically assisted in terms of the surface finish produced on work piece in the subsequent grinding operation. Analytic Hierarchy Process (AHP) shows that the abrasive grit of grinding wheel has first rank and grade (hardness) of the wheel has Second rank for the producing surface finish on the work piece after grinding operation. Structure and type of abrasive of wheel have a third and fourth rank respectively. Thus, AHP gives qualitative way of controlling work piece surface roughness in sub-sequent grinding operation by selecting proper grinding wheel of vitrified bond which helps the user to select the correct grinding wheel.

Landslide is recurrent phenomena in the Mandakini valley of Uttarakhand, India. This study concentrates on the analysis of landslide susceptibility mapping using Frequency Ratio (FR) and Analytical Hierarchical Process (AHP) models in the lower Mandakini valley. The models are applied by integrating eleven causative factors and 160 past landslides. Both models are validated and compared using Receiver Operating Characteristics and Seed Cell Area Index method. The validation result shows that the FR model gives better success rate and prediction rate than AHP model. Seed cell index values of high and very high susceptibility classes are more in the case of the FR model than AHP model. Thus, the landslide prediction capability of the FR model is more reliable in the study area. The study will contribute to understand future landslide risk and help in disaster reduction planning in the region.

Measuring the success possibility of implementing advanced manufacturing technology by utilizing the consistent fuzzy preference relations

Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India

Research Article| September 01 2011 Analytical hierarchical process (AHP) as a decision support tool in water resources management Enrique Cabrera, Jr; Enrique Cabrera, Jr 1ITA - Dpto, Ingeniería Hidráulica y Medio Ambiente, Universitat Politècnica de València, Camino de Vera s/n. 46022, Valencia, Spain E-mail: qcabrera@ita.upv.es Search for other works by this author on: This Site PubMed Google Scholar Ricardo Cobacho; Ricardo Cobacho 1ITA - Dpto, Ingeniería Hidráulica y Medio Ambiente, Universitat Politècnica de València, Camino de Vera s/n. 46022, Valencia, Spain Search for other works by this author on: This Site PubMed Google Scholar Vicent Estruch; Vicent Estruch 2Dpto Economia y Ciencias Sociales, Universitat Politècnica de València, Camino de Vera s/n. 46022, Valencia, Spain Search for other works by this author on: This Site PubMed Google Scholar Jerónimo Aznar Jerónimo Aznar 2Dpto Economia y Ciencias Sociales, Universitat Politècnica de València, Camino de Vera s/n. 46022, Valencia, Spain Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2011) 60 (6): 343–351. https://doi.org/10.2166/aqua.2011.016 Article history Received: March 23 2011 Accepted: June 17 2011 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Enrique Cabrera, Ricardo Cobacho, Vicent Estruch, Jerónimo Aznar; Analytical hierarchical process (AHP) as a decision support tool in water resources management. Journal of Water Supply: Research and Technology-Aqua 1 September 2011; 60 (6): 343–351. doi: https://doi.org/10.2166/aqua.2011.016 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Despite advances in water conservation, abstraction and transport, water demand has been increasing worldwide in the past few decades. This has resulted in an increased pressure on stakeholders to provide sustainable solutions to meet future water demands. The decision-making process to find those solutions is becoming increasingly complicated. First, owing to the arrival of new technologies or the evolution of existing ones, the number of available alternatives has increased. Additionally, economic criteria have been abandoned as the sole reference for the comparison of alternatives. The increase of both options and restrictions has complicated significantly the choice of the best alternative. Until now, the search for solutions has usually focused on the reduction of all parameters and restrictions to a common denominator or the use of complex and scarcely transparent models. This paper shows how to make use of the AHP technique to improve the decision-making process in order to satisfy new water demands in a local context. This methodology has been widely used in other fields and allows the combination of quantitative and qualitative criteria. Among the virtues of AHP are transparency, simplicity and the fact that it relies on actual opinions from experts. decision-making process, water management, water policy, water resources management This content is only available as a PDF. © IWA Publishing 2011 You do not currently have access to this content.

Proper judgement on rangeland state needs appropriate sampling plan and accurately estimation of plant characteristics. Sample shape and size are critical issues in vegetation measurement. Thus, decision on appropriate quadrate shape that enables us to determine several parameters accurately and timely would increase sampling efficiency. Several criterias including accuracy, perimeter/area ratio, spent time for measurement, usability and ease of use as well as three variance and or covariance dependent criterias were used to decide on proper plot size to determine multi-variables of rangelands, i.e. different life forms composition, sand and gravels, litter and bare soil coverage. Different quadrate sizes including 1×1, 1×2, 1.4×1.4, 0.4×4, 2×2, 2.8×2.8 and 4×4m were established along a 640 m long transect within a homogeneous vegetation type. Within each quadrate, species canopy cover, litter, sand and gravel coverage in addition to spent time for measurement were estimated and recorded. Life forms composition in each plot was calculated by summing each life form species. An Analytical Hierarchical Process (AHP) was performed to find out appropriate sampling quadrate from aforementioned quadrate sizes. Moreover, 5 repeats of nested quadrates from 25×25cm to 16×16m were established to determine sampling minimal area. Efficacy of minimal area method with this multi criteria method that synchronously incorporated a number of criteria was compared. Results showed that accuracy of multi-variable estimation raises with increasing sampling quadrate size (area) until reaches a 4 square meter quadrate (2×2m) but after that more or less stabilized. Also, on a constant sample size (area), efficiency of square plots is higher than rectangles for estimation of objective variables. AHP results showed that based on accuracy, time, perimeter/area ratio, and usability and ease of application criteria a 4 square meter (i.e., 2×2m) plot is the most appropriate alternative for synchronic measurement of multi-variables. Repeated nested plots showed at least a 32×32m plot for minimal area that is not applicable in practice. We can conclude that 1) minimal area that is estimated using nested plots are not necessarily the most appropriate minimal quadrate size in heterogeneous vegetations for multi-variable measurement, and 2) by considering multi criteria and choosing the best option (alternative) from different quadrates, researcher will increase sampling efficiency.

Application of analytical hierarchy process to analyze stakeholders preferences for municipal solid waste management plans, Boston, USA

Delineation of groundwater potential zones in lower Rihand River Basin, India using geospatial techniques and AHP

Exploring alternative freshwater resources other than those surrounding the Nile is critical to disperse Egypt’s population to other uninhabited desert areas. This study aims to locate groundwater potential zones (GWPZs) in the water-scarce desert between the Qina and Safga-Bir Queh regions to build groundwater wells, thereby attracting and supporting people’s demand for water, food, and urban development. Multi-criteria evaluation (MCE) and analytical hierarchical process (AHP) techniques based on remote sensing (RS) and Geographic Information System (GIS) were used to map GWPZs. The outcome of the GWPZs map was divided into six different classes. High and very-high aquifer recharge potentials were localized in the middle and western parts, spanning 19.3% and 17% (16.4% and 15.7%) by MCE (AHP). Low and very low aquifer recharge potentials were distributed randomly in the eastern part over an area of 29% and 14.3% (26.9% and 6.1%) by MCE (AHP). Validation has been undertaken between the collected Total Dissolved Solid (TDS) and with the calculated GWPZs, indicating that the highest and lowest TDS concentrations of most aquifers are correlated with low to very low and high to very high aquifer potential, respectively. The study is promising and can be applied anywhere with similar setups for groundwater prospect and management.