Light sensor selection of Wi-MoLS (wireless modern light sensor) based on analytic hierarchy process (AHP)

Fatchurrahman, R.; Putra, Heddy Sa; Joyokusumo, Irfan; Habib, Masood; Imawati, Iftitah; Hadi, Sasongko Pramono

doi:10.1109/icimece.2016.7910443

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…According to the survey of issuing the above indicators, this paper gives weight to each index of the performance evaluation of government management personnel and constructs the judgment matrix by using the weighted average summation method. The sum-product method is used to determine the weight coefficient of each judgment matrix [28,29]. Finally, through consistency detection, the detection process is as follows:…”

Section: Construction Of Performance Evaluation Index Of Government Mmentioning

confidence: 99%

Research on human performance evaluation model based on neural network and data mining algorithm

Liang

2020

J Wireless Com Network

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In order to effectively evaluate personnel performance, a distributed data mining algorithm for spatial networks based on BP neural wireless network is proposed. In the cloud computing environment, an excavator is used to construct multiple input multiple output spatial network data, analyze the data structure, and perform redundant data compression of massive data through time-frequency feature extraction. Combined with the adaptive matching filtering method, the characteristics of the data are matched. The spatial frequency feature extraction method is used to locate the features of the multiple-input multiple-output spatial network data. In order to improve the accuracy of data mining, the BP neural network is used to classify and identify the extracted data features to achieve the optimization of data mining. A wireless sensor network is a wireless network composed of a large number of stationary or moving sensors in a self-organizing and multi-hop manner. It cooperatively senses, collects, processes, and transmits the information of the perceived objects in the geographical area covered by the network and finally puts these The information is sent to the owner of the network. This algorithm improves the accuracy of personnel performance evaluation, simultaneously establishes a hierarchical analysis and quantitative evaluation model for the performance of government managers, and adjusts the results of hierarchical statistical analysis on government administrators as needed. The performance evaluation and optimization of government administrators were introduced. The empirical analysis results show that the method has higher accuracy for government managers’ performance evaluation, higher efficiency of big data processing, and better integration.

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Section: Construction Of Performance Evaluation Index Of Government Mmentioning

confidence: 99%

Research on human performance evaluation model based on neural network and data mining algorithm

Liang

2020

J Wireless Com Network

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“…Many AHP is used to do process of evaluation as a follow: [1]. Selecting, [2], [3], [4], measuring [5], developing whether decision or hierarchy in decision production [6], so there are many interest which is used to accomplish the problems whether qualitative or quantitative [7]. Thus, to accomplish the problem of job's performance selecting, AHP has an important role for being interest [8].…”

Section: Introductionmentioning

confidence: 99%

The Employee Promotion Base On Specification Job’s Performance Using: MCDM, AHP, And ELECTRE Method

Akmaludin¹,

Badrul²,

Marlinda³

et al. 2018

2018 6th International Conference on Cyber and IT Service Management (CITSM)

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The process of promotion required in every company. To perpetrating the promotion of position in company is required of job assessment objectively so this result will give proving truly. In reality the success of company affected to whom will lead the company because the assessment specifically is giving real evidence concerning been perpetrated. Thus, it required some various assessment criteria for specification working performance which is reflected to well-skillful of each personal to be promoted for position based on the expectation in the future. The assessment of specification job's performance uses ELECTRE Method. It uses seven elected specifications of job's performance that collaborated to Multi-Criteria Decision Making (MCDM) between Analytic Hierarchy Process (AHP) and ELECTRE as preference data of analysis for specification job's performance of promoting position. The result found from the level by using Electre method to promote some position by using the specification of job's performance consecutively: First ranking by the number 2,60 for K.1, Second ranking have 0,19 for K3, the third have 0,14 for the K2, the forth have 1,25 for K1, and the last ranking have 1,68 for K4.

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“…Pairwise matrix is made by comparing each pair of alternatives against the criteria tested. Generally each test result must be weighted by the 1-9 scaling method which is put forward by Professor Satty (T.L.Satty) [15].…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Study on Evaluation Model of Activity and Balance of Autonomic Nervous System Based on AHP

Li¹,

Ma²

2017

dtcse

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The abnormal parameters reflecting the functional status of autonomic nerve can be regarded as a marker of cardiovascular diseases prognosis. Then based on the analytic hierarchy process, this paper proposed a quantitative evaluation method of autonomic nervous system activity and balance. According to the hierarchy analysis, heart rate variability parameters are divided into time domain parameters, frequency domain parameters, nonlinear parameters. The judgment matrix is constructed according to the relative importance of each index, then the weight of each index is calculated. The consistency test verifies the reliability of the judgment matrix. The results showed that with the increase of stimulation level, sympathetic nerve activity increased, and parasympathetic nerve activity decreased. The balance of sympathetic and parasympathetic increased. It showed that this model can reflect the change of autonomic nervous system, and has certain theoretical research value.

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Light sensor selection of Wi-MoLS (wireless modern light sensor) based on analytic hierarchy process (AHP)

Cited by 7 publications

References 6 publications

Research on human performance evaluation model based on neural network and data mining algorithm

Research on human performance evaluation model based on neural network and data mining algorithm

The Employee Promotion Base On Specification Job’s Performance Using: MCDM, AHP, And ELECTRE Method

Study on Evaluation Model of Activity and Balance of Autonomic Nervous System Based on AHP

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