27,848 research outputs found

    ANALISIS DAN PERBANDINGAN ANP, TOPSIS, DAN FUZZY TOPSIS DALAM MELAKUKAN PERANGKINGAN PRESTASI PEGAWAI

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    ABSTRAKSI: Metode ANP (Analytic Network Process), TOPSIS (Technique For Others Preference By Similarity To Ideal Solution), dan Fuzzy TOPSIS merupakan metode yang digunakan dalam pengambilan keputusan terhadap masalah penentuan prioritas pilihan dari berbagai alternatif. Metode ANP diawali dengan membuat matriks perbandingan berpasangan (pair-wise comparison matrix) untuk mengetahui hubungan tingkat kepentingan antara elemen yang satu dengan yang lain. Pada matriks tersebut akan dicari bobot dan alternatif dari tiap kriteria/subkriteria. Metode TOPSIS diawali dengan membuat matriks keputusan (decision matrix) antara setiap alternatif dengan kriteria/subkriteria. Pada matriks tersebut akan dicari rangking dari tiap alternatif yang ada berdasarkan jarak terdekat solusi ideal. Sedangkan metode Fuzzy TOPSIS diawali dengan membuat matriks fuzzy keputusan ( decision fuzzy matrix) yang di representasikan dengan variabel lingusitik fungsi keanggotaan segitiga. Sama halnya pada matriks keputusan dalam metode TOPSIS, pada matriks fuzzy keputusan akan dicari rangking dari tiap alternatif yang ada berdasarkan jarak terdekat solusi idealnyaHasil yang diperoleh dalam tugas akhir ini adalah perangkingan prestasi kerja pegawai yang dijadikan sebagai alternatif dalam pengambilan keputusan sehingga proses penilaian prestasi kerja pegawai dapat berlangsung secara efektif dan efisien serta menghasilkan keputusan yang objektifKata Kunci : ANP (Analytic Network Process), TOPSIS (Technique For Others Preference By Similarity To Ideal Solution), Fuzzy TOPSIS, pairwise comparison, decision matrix, decision fuzzy matrix.ABSTRACT: ANP ( Analytic Network Process ) , TOPSIS ( Technique For Others Preference By Similarity To Ideal Solution ) , and Fuzzy TOPSIS method is used in decision-making problem of determining the priority of various alternative options . ANP method begins with a matrix of pairwise comparisons ( pairwise comparison matrix ) to determine the relationship between the interest rate that one element with another . On the matrix of weights and alternatives will be sought from each criteria / sub-criteria . TOPSIS method begins with a decision matrix ( decision matrix ) between each alternative with criteria / sub-criteria . The matrix will be sought on the ranking of each alternative that is based on the shortest distance ideal solution . While the Fuzzy TOPSIS method begins with a fuzzy decision matrix ( fuzzy decision matrix ) which are represented by linguistic variables triangular membership functions . Similarly, the decision matrix in TOPSIS method , the fuzzy decision matrix will be sought ranking of each alternative that is based on the shortest distance ideal solutionThe results obtained in this thesis is ranking employee performance is used as an alternative in the decision making process of employee performance appraisal can take place effectively and efficiently and to produce objective decisionsKeyword: ANP (Analytic Network Process), TOPSIS (Technique For Others Preference By Similarity To Ideal Solution), Fuzzy TOPSIS, pairwise comparison, decision matrix, decision fuzzy matrix

    Artificial Neural Network Representations for Hierarchical Preference Structures

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    In this paper, we introduce two artificial neural network formulations that can be used to predict the preference ratings from the pairwise comparison matrices of the Analytic Hierarchy Process (AHP). First, we introduce a modified Hopfield network that can be used to exactly determine the vector of preference ratings associated with a positive reciprocal comparison matrix. The dynamics of this network are mathematically equivalent to the power method, a widely used numerical method for computing the principal eigenvectors of square matrices. However, we show that the Hopfield network representation is incapable of generalizing the preference patterns, and consequently is not suitable for approximating the preference ratings if the preference information is imprecise. Then we present a feed-forward neural network formulation that does have the ability to accurately approximate the preference ratings. A simulation experiment is used to verify the robustness of the feed-forward neural network formulation with respect to imprecise pairwise judgments. From the results of this experiment, we conclude that the feed-forward neural network formulation appears to be a powerful tool for analyzing discrete alternative multicriteria decision problems with imprecise or fuzzy ratio-scale preference judgments

    A modified AHP algorithm for network selection

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    This paper addresses the concept of ranking networks to the multiple criteria of customers to find the best and alternative networks. The use of modified AHP algorithm has been shown to provide better network ranking for reasonable customer objectives than the traditional AHP method. Both the traditional method and the proposed method produced results subjective to the customer requirements. However, the proposed method is more intuitive to the customers through direct capture of their exact requirements rather than an interpretation of their requirements through pair-wise comparison alone. Also, the proposed method is less time-consuming and results are of higher quality

    Intelligent protocol adaptation for enhanced medical e-collaboration

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    Copyright @ 2003 AAAIDistributed multimedia e-health applications have a set specific requirements which must be taken into account effective use is to be made of the limited resources provided by public telecommunication networks. Moreover, there an architectural gap between the provision of network-level Quality of Service (QoS) and user requirements of e-health applications. In this paper, we address the problem bridging this gap from a multi-attribute decision-making perspective in the context of a remote collaborative environment for back pain treatment. We propose intelligent mechanism that integrates user- related requirements with the more technical characterisation Quality of Service. We show how our framework is capable of suggesting appropriately tailored transmission protocols, by incorporating user requirements in the remote delivery e-health solutions

    Hazard function deployment: a QFD-based tool for the assessment of working tasks–a practical study in the construction industry

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    Despite the efforts made, the number of accidents has not significantly decreased in the construction industry. The main reasons can be found in the peculiarities of working activities in this sector, where hazard analysis and safety management are more difficult than in other industries. To deal with these problems, a comprehensive approach for hazard analysis is needed, focusing on the activities in which a working task is articulated since they are characterized by different types of hazards and thus risk levels. The study proposes a methodology that integrates quality function deployment (QFD) and analytic network process methods to correlate working activities, hazardous events and possible consequences. This provides more effective decision-making, while reducing the ambiguity of the qualitative assessment criteria. The results achieved can augment knowledge on the usability of QFD in safety research, providing a basis for its application for further studies

    Multicriteria decision making for enhanced perception-based multimedia communication

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    This paper proposes an approach that integrates technical concerns with user perceptual considerations for intelligent decision making in the construction of tailor-made multimedia communication protocols. Thus, the proposed approach, based on multicriteria decision making (MDM), incorporates not only classical networking considerations, but, indeed, user preferences as well. Furthermore, in keeping with the task-dependent nature consistently identified in multimedia scenarios, the suggested communication protocols also take into account the type of multimedia application that they are transporting. Lastly, this approach also opens the possibility for such protocols to dynamically adapt based on a changing operating environment and user's preferences
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