AHP Algorithm Research Articles

Optimal Path Selection Criteria for Multipath Optical Wireless Communication Link

This paper addresses the atmospheric effects on optical channel for short distance multipath communication links. The main focus is to study the performance of optical wireless system by using optimal path selection criteria using AHP algorithm. The atmospheric parameters such as air temperature, attenuation due to scattering and absorption, beam deflection, optical noise etc under varying atmospheric turbulence conditions were compared to select a best alternative optical path between transmitter and receiver. The performance degradation patterns for multiple optical links are tested to achieve maximum signal to noise ratio at every node. The multiple attribute decision method is employed at every node which involves selection from among finite number of alternatives. Different alternatives, Attributes, weight or relative importance of each attribute and measure of performance of alternatives with respect to the attributes are the main parts in each decision table of MADM methods. The simulation results are presented, base on the given finite attribute to achieve the maximum optical link availability as well as reliability of data rate in a high speed data network.

Application of fuzzy-analytic hierarchy process algorithm and fuzzy load profile for load shedding in power systems

Abstract In an electrical competitive market, load shedding decision support systems are needed to find the ways to process load shedding to satisfy both economic and technical conditions. This paper proposed the Fuzzy Analytic Hierarchy Process algorithm (Fuzzy-AHP) and fuzzy logic for load profile approach to determine the weight of the load nodes of the system and select the control strategy when the system operates at various load levels. Weights of the load nodes were calculated by triangular fuzzy numbers in the pair comparison. These results combined with the fuzzy logic for load profile to draw out the suitable control strategies for various load levels in case of emergency. The effectiveness of the algorithm was demonstrated through the experiment of load shedding of IEEE 37 bus compared with traditional AHP algorithm.

Multivariable algorithm for dynamic channel selection in cognitive radio networks

The spectral handoff is important in cognitive wireless networks to ensure an adequate quality of service and performance for secondary user communications. This work presents a multivariable algorithm for dynamic channel selection used in cognitive wireless networks. The channel selection is based on the fuzzy analytical hierarchical process (FAHP) method. The selected criteria for choosing the best backup channel are probability of channel availability, estimated channel time availability, signal to noise plus interference ratio, and bandwidth. These criteria are determined by means of a customized Delphi Method and using the FAHP technique; the corresponding weight and significance is calculated for two applications classified as best effort (BE) and real time (RT). The insertion of the fuzzy logic in the AHP algorithm allows better handling of inaccurate information because, as shown the results, consider more options to evaluate in contrast to a conventional AHP. As a difference with related work, the performance of our proposed FAHP method was validated with captured data in experiments realized at the GSM frequency band (824–849 MHz). This is due to the challenge of finding white spaces to communicate in this frequency band. This band represents more disputes in accessing spectral opportunities than other radio frequency (RF) bands because of the high demand for mobile phone communications. The proposed FAHP algorithm has a practical computational complexity and provides an effective frequency-channel selection. This proposed FAHP algorithm presents a new methodology to select and classify the variables based on a modified version of the Delphi method. The results of the proposed method were contrasted numerically with other three methods.

User Behavior Trust Evaluation Model Based on the AHP Algorithm

User Behavior Trust Evaluation Model Based on the AHP Algorithm

An Algorithm Based on Wavelet Neural Network for Garment Size Selection

Size fitting problem is a main obstacle to large scale online garment sales.It is the difficult to customers to find the fit garments when they couldn’t try on. In this paper, we present an algorithm base on wavelet neural network to help customer choosing their clothing specifications automatically. After the reasonable wavelet function is selected, we established the model structure and the initial parameters. The wavelet neural network is trained by the body measures and the result of AHP algorithm after normalization. The new data are used to test the network. As a result, the error from wavelet neural network is smaller, and the prediction accuracy is proved than that from the algorithm based on traditional BP network.

On Risk Comprehensive Evaluation of Carbon Finance in Commercial Banks under Low-Carbon Economy in China

In this paper, the author analyzed four dimensional evaluation index systems for comprehensive evaluation of risk of carbon finance Business under the low-carbon economy in China. The analysis was conducted by means of an AHP-based Approach which builds a system analysis technique for multiple criteria decision making as well as the weighted LEC method and by market risk, credit risk, operational risk and project risk. The result show that evaluation index system based on AHP Algorithm for comprehensive evaluation of risk of carbon finance Business in China has good reliability.

An Effective Quality of Experience Measurement and Calculation Method for IPTV Service

This study focuses on the topics of Quality of Experience which is essentially focused on business users feeling. The purpose of QoE is to realize the user-centered management. QoE is how to come up from the Angle of the user service analyze network service. QoE regards the network service as one unity and considers the various aspects of affecting the network service performance. However by comparison, QoS only pays attention to the network performance which means QoS is one subset of QoE. At present, the difficulty and key point of the study about QoE is how to quickly and effectively compute the indexes which influence QoE. In this paper, in order to solve this problem, we proposed a solution to compute the indexes which influence the QoE result by using the AHP algorithm. And we did an experiment with the real users’ participation in the laboratory which proved that this solution is correct and practicable. It can reflect the QoE result of real end users and provide a valuable reference for the contents provider, ISP and the end service provider about how to provide more stable and higher-quality service.

Research on the Identified Assessment Model of Used Car Based on AHP Algorithm

In the used car market, residue ratio of accuracy directly affects the accuracy of the used car's price.Therefore, it is an urgent that calculation method is a scientific, accurate and easy to operate. Based on the existing estimation methods , improvements used car residue ratio have been made.It considers the various factors that affect the second-hand cars residue ratio, borrowed ideas of AHP, and the use of MATLAB software for weight analysis, simplify complex the calculation process, so calculation of residue ratio is both scientific and simple, so that it is widely used.

A Two-Stage Optimization Algorithm of Logistics Transportation Network

In each step of logistics, transportation plays an important role to increase profit for the logistics enterprises. The vehicle routing problem is getting more and more attention of researchers and logistics enterprises. There are many factors that affect the path, many of which can only be described qualitatively, such as traffic, environment etc., These factors need to be taken into account comprehensively for path selection. The paper proposes the two-stage optimization method of transport network to solve the problem of optimal path, which combines the qualitative analysis with quantitative analysis. Examples show that it is feasible. Keywords: Transport network; AHP algorithm; Dynamic programming

A Novel Approach to Multi-criteria Route Selection Problem Based on Fuzzy AHP and Amoeba Algorithm

Route selection is one of the fundamental problems concerned in many real-world applications, such as road navigation, transportation of hazardous goods. Various approaches have been presented to deal with this problem using AHP. However, in many cases, the preference of the expert cannot be expressed by crisp numbers effectively. In this paper, the amoeba algorithm is combined with fuzzy AHP to deal with the route selection problem. The preferences of the expert are represented by triangular fuzzy numbers. Then through fuzzy AHP, the weights for different criteria can be constructed. By weighted sum, the total priority index for each edge in the network can be obtained. Finally, the optimal path in the network can be found using amoeba algorithm. An example is illustrated to demonstrate the efficiency of the proposed method.

An AHP-Based Fuzzy Approach for Evaluation of Index System on Coordinated Development of Ethnic Regions in China

in this paper, we analyzed three dimensional evaluation index systems on coordinated development of ethnic regions in China. The analysis was conducted by means of an AHP-based Fuzzy Approach which builds a system analysis technique for multiple criteria decision making,and by Biological carrying capacity, Economic carrying capacity and Social carrying capacity.The result show that evaluation index system based on Fuzzy AHP Algorithm in ethnic regions has good reliability.

Fuzzy AHP-Based Algorithm for Performance Evaluation of New Socialist Countryside in Northwest Minority Regions of China

New socialist countryside (NHC) is usually observed in rural social economic development in China since 2005. In this paper, we analyzed NSC construction in Northwest Minorities regions of China based on the idea of an Fuzzy AHP Algorithm which builds a combined analysis technique of AHP and Fuzzy theory for multiple criteria decision making, and by four aspects: new farmersdeveloped agricultureharmonious countryside and environment for minority populations. The result show that evaluation index system based on Fuzzy AHP Algorithm in Northwest Minority regions has good reliability.

Research and Application on Improved Group Decision Making AHP Algorithm

This paper analyzes the shortcomings of the traditional AHP method and proposes group decision making from a single decision-making. In group decision making the weight of experts is very important. This paper discusses the existing methods of determining experts’ weights, introduces the method of the similarity of the cosine of the vectors’ angle, and the weight of experts is determined dynamically according to the similarity of the judgment matrix given by experts. When determining the weight of experts, judgment matrixes experts give need to pass the consistency test. In this paper, AHP group decision making method is applied to the load balancing system to determine the index weight influencing on load balancing. The experiment in the paper shows that this method can reduce calculation of consistency test and make the decision-making results more effective.

Research on Risk Management of Sports Events Based on Analytic Hierarchy Process

How to position various types of risk in the process of sports events reasonably has become the hot spot in the study of risk management. We simplify the AHP algorithm by the method of approximation algorithms through the study of the theory and algorithms of analytical hierarchy process. Meanwhile, AHP is introduced to the study of sports events risk. A multi-level risk index system is established, and relative importance of risk factors is determined. More objective judgment of the risk situation of risk factors in the events is made and events risks are systematically analyzed from the perspective of evaluation combined with the risk characteristics of sports events. Then the quantitative relationship among the comparison of the projects is given from the perspective of mathematical analysis, with the analysis of the results given by the expert survey method, through specific examples. Specific management and control strategy is designed for various kinds of risks in sports events according to the condition of risk rating of sports events and the results of positioning analysis. Appropriate risk response strategies are made in the paper. This method has important practical significances for the purpose of realizing sports events management successfully.

Aircraft Financial Leasing Project Risk Evaluation Using AHP and Grey Comprehensive Algorithm

Aircraft Financial Leasing Project Risk Evaluation Using AHP and Grey Comprehensive Algorithm

Importance Evaluation of Individuals in Online Social Networks Based on Fuzzy AHP Algorithm

Importance Evaluation of Individuals in Online Social Networks Based on Fuzzy AHP Algorithm

Capability adaptation algorithm based on joint network and terminal selection in heterogeneous networks

Modern service industry has been the new point of economic growth, which is on the basis of information and communication technologies. Heterogeneous networks convergence is the trend for the development of information and communication technologies. This paper proposes a capacity adaptation algorithm to implement the network and terminal collaborative selection functions. The AHP and GRA algorithms are introduced for heterogeneous network selection, in which the AHP algorithm is aimed to calculate the weight parameters and the GRA algorithm is to select the best target network. The AHP and SAW algorithms are adopted to complete the terminal selection on basis of terminal attributes. Simulations and analysis show that capability adaptation can achieve network and terminal selection in heterogeneous networks for many services and applications.

Clustering and ranking university majors using data mining and AHP algorithms: A case study in Iran

Although all university majors are prominent, and the necessity of their presence is of no question, they might not have the same priority basis considering different resources and strategies that could be spotted for a country. Their priorities likely change as the time goes by; that is, different majors are desirable at different time. If the government is informed of which majors could tackle today existing problems of world and its country, it surely more esteems those majors. This paper considers the problem of clustering and ranking university majors in Iran. To do so, a model is presented to clarify the procedure. Eight different criteria are determined, and 177 existing university majors are compared on these criteria. First, by k-means algorithm, university majors are clustered based on similarities and differences. Then, by AHP algorithm, we rank university majors.

PARTNER SELECTION OF STRATEGIC ALLIANCE FOR A LINER SHIPPING COMPANY USING EXTENT ANALYSIS METHOD OF FUZZY AHP

This paper applies the modified extent analysis method of fuzzy AHP approach for selecting suitable partners of strategic alliance for a liner shipping company. An empirical survey for selecting partners is studied to find out the most appropriate company based on the proposed fuzzy AHP algorithm. To facilitate the main issue for selecting a partner, a hierarchical structure of partner selection for a liner shipping company with seven criteria, thirty-two sub-criteria, and three alternatives was constructed to perform the empirical survey via AHP expert questionnaires. When the operations of fuzzy AHP algorithm are computed, the optimal alternative is selected as the partner for the liner shipping company