K-means method for rough classification of R&D employees' performance evaluation
@article{Lee2006KmeansMF,
title={K-means method for rough classification of R\&D employees' performance evaluation},
author={Hong-Tau Lee and Sheu Hua Chen and Jie Min Lin},
journal={Int. Trans. Oper. Res.},
year={2006},
volume={13},
pages={365-377},
url={https://api.semanticscholar.org/CorpusID:35361841}
}An approach that can roughly cluster a data set with fuzzy linguistic entries as a prior data arrangement for performance evaluation of R&D employees and the supervisor can evaluate the performance of each employee directly with a semantic scale is proposed.
8 Citations
Employee Performance Evaluation based on Relative Ratio Method
- 2014
Business, Mathematics
For the problem of employee performance evaluation model, in which the index evaluation values are linguistic variables, a multiple attribute decision making method named relative ratio method is…
A Novel Triangular Fuzzy Numbers-based Efficacy Coefficient Evaluation Method of English Language Teaching
- 2019
Education, Mathematics
This paper develops a novel evaluation method for the evaluation of English language teaching with the help of triangular fuzzy numbers for substituting linguistic terms, because the calculation of linguistic terms is usually complex.
FACILITATION OF OPERATION AND MAINTENANCE ACTIVITIES OF IRRIGATION NETWORKS USING A K‐MEANS CLUSTERING METHOD: CASE STUDY OF THE GHAZVIN IRRIGATION NETWORK
- 2012
Engineering, Environmental Science
One of the most important factors in saving limited water resources is improving the performance of irrigation canal networks. To achieve this purpose, improving the operation and maintenance (O&M)…
Groundwater Quality Assessment: An Improved Approach to K-Means Clustering, Principal Component Analysis and Spatial Analysis: A Case Study
- 2018
Environmental Science
A methodology based on the PCA method to reduce the dataset from high dimensional to low for the improvement of K-means clustering for water quality evaluation achieves increased quality cluster cohesion according to the average Silhouette index.
A holistic review on the assessment of groundwater quality using multivariate statistical techniques
- 2023
Environmental Science
Abstract Water is an essential element in nature. It is used in drinking, irrigation, and industry mainly. Human health is directly linked to groundwater quality and is affected by poor groundwater…
Groundwater quality assessment of the shallow aquifers west of the Nile Delta (Egypt) using multivariate statistical and geostatistical techniques
- 2014
Environmental Science, Geology
The provably good parallel seeding algorithms for the k-means problem with penalties
- 2022
Computer Science, Mathematics
27 References
Difference, distance and similarity as a basis for fuzzy decision support based on prototypical decision classes
- 2002
Computer Science, Mathematics
Using Cpk index with fuzzy numbers to evaluate service quality
- 2002
Business, Computer Science
This paper uses the fuzzy numbers of linguistic variables developed in fuzzy set theory to modify the process capability index, and then applies it to evaluate the quality of a service.
Multicriteria scheduling using fuzzy theory and tabu search
- 2002
Engineering, Computer Science
The linguistic values of fuzzy set theory are introduced to evaluate each criterion and to represent its relative weight for the schedules of a multicriteria environment and the aim is to propose an approach that can more easily apply the multicritical technique.
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
- 2004
Computer Science, Mathematics
Two algorithms which extend the k-means algorithm to categorical domains and domains with mixed numeric and categorical values are presented and are shown to be efficient when clustering large data sets, which is critical to data mining applications.
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
- 2002
Computer Science, Mathematics
This work presents a simple and efficient implementation of Lloyd's k-means clustering algorithm, which it calls the filtering algorithm, and establishes the practical efficiency of the algorithm's running time.
New Look at Performance Appraisal for Scientists and Engineers
- 1994
Engineering
OVERVIEW: The performance appraisal as usually carried out by an organization's management is often incompatible with the needs of the technical staff. Nevertheless, it serves the organizational…
Operations on fuzzy numbers
- 1978
Mathematics, Computer Science
The usual algebraic operations on real numbers are extended to fuzzy numbers by the use of a fuzzification principle, and the practical use of fuzzified operations is shown to be easy, requiring no more computation than when dealing with error intervals in classic tolerance analysis.