• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.30 no.1
• /
• pp.89-95
• /
• 2007

In general, reliability of AHP(Analytic Hierarchy Process) depends on pairwise comparison of evaluators. In addition, human judgment on the importance of alternatives or criteria is always imprecise and vague. To cope with these shortcomings, Fuzzy AHP is suggested and used widely recently. But in Fuzzy AHP, it cannot deal with the evaluator's various attitudes towards risk and confidence owing to evaluator's different expertise and experience. This paper proposes a method for consideration of evaluator's confidence and risk attitude in Fuzzy AHP. And suggested methods are applied various scenarios to verify the meaningfulness. The result shows that the priority of alternatives can be change through the consideration of evaluator's confidence and risk attitude.

• Safety and Health at Work
• /
• v.10 no.4
• /
• pp.476-481
• /
• 2019

Background: Mystery shopping is a method in which a company monitors quality of service and employee conduct and compliance with regulations using an evaluator posing as a customer. It is a typical tool of customer-centered bureaucratic control insofar as it provides overall and standardized evaluation of intangible elements of customer service as well as physical elements of service environments. The purpose of this study is to examine how mystery shopping is related to the health status of service workers in South Korea. Methods: Data from semistructured interviews with 15 workers were collected from January to April 2019 to obtain information on service worker experiences with mystery shopping. Data were analyzed using the constant comparison method. Results: Mystery shopping limits worker autonomy and stiffens the workplace environment by standardizing and monitoring labor processes for service workers. In addition, mystery shopping heightens work stress through increased labor intensity. Five mechanisms by which mystery shopping affects service worker health are identified and comprise (1) multifaceted and multilayered surveillance, (2) evaluator subjectivity and irrational requirements, (3) standardized rules combined with high pressure to achieve sales, (4) self-esteem degradation because of evaluator results, and (5) musculoskeletal disorders because of strict adherence to labor processes based on evaluator results. Conclusion: Mystery shopping as an evaluation method should be reconsidered not only in terms of health problems but also in terms of organizational efficiency and issues of human rights.

• Journal of Korea Multimedia Society
• /
• v.25 no.9
• /
• pp.1266-1272
• /
• 2022

With the recent development of computer vision technology, image processing-based mechanical devices are being developed to realize autonomous driving. The camera-taken images of image processing-based machines are invisible due to scattering and absorption of light in foggy conditions. This lowers the object recognition rate and causes malfunction. The safety of the technology is very important because the malfunction of autonomous driving leads to human casualties. In order to increase the stability of the technology, it is necessary to apply an efficient haze removal algorithm to the camera. In the conventional haze removal method, since the haze removal operation is performed regardless of the haze concentration of the input image, excessive haze is removed and the quality of the resulting image is deteriorated. In this paper, we propose an automatic haze removal method that removes haze according to the haze density of the input image by applying Ngo's Haziness Degree Evaluator (HDE) to Kim's haze removal algorithm using Hazy Particle Map. The proposed haze removal method removes the haze according to the haze concentration of the input image, thereby preventing the quality degradation of the input image that does not require haze removal and solving the problem of excessive haze removal. The superiority of the proposed haze removal method is verified through qualitative and quantitative evaluation.

• Journal of the East Asian Society of Dietary Life
• /
• v.25 no.2
• /
• pp.363-371
• /
• 2015

This study investigated the effect and interrelationship of evaluation system in employee's job satisfaction at deluxe hotel kitchen in the Seoul area. The questionnaires developed for this study were distributed to 400 chefs during June to August, 2012. A total of 364 questionnaires were used for analysis (91.0%) and the statistical analysis was completed using PASW (SPSS) 18. The status of operating menu evaluation and menu development was analyzed by dividing the questionnaires into three categories: 'menu idea', 'menu evaluator' and 'menu evaluation system'. The 'menu idea' category showed the highest concern for 'Is the selected idea differentiated from competitors' menu?' (3.10 Likert scale), the 'menu evaluator' category showed the highest concern for 'Do the evaluator's individual factors affect menu evaluation?' ($3.88{\pm}0.96$), and the 'menu evaluation system' showed the highest concern for 'Is the menu commercialized by the menu evaluation system?' (3.32 Likert scale). Overall job satisfaction was studied into three categories: 'human field', 'material field' and 'evaluation field'. Overall satisfaction about one's job was 3.24 Likert scale. For satisfaction in each category, satisfaction for 'human field' was the highest with 3.30 Likert scale compared to 'material field' and 'evaluation field' with 2.76 Likert scale and 3.27 Likert scale, respectively. In conclusion, establishment of a unified evaluation system to improve employee's job satisfaction related to menu development is needed.

• Journal of Korean Institute of Industrial Engineers
• /
• v.14 no.1
• /
• pp.57-71
• /
• 1988

Checklist method is rapid and comprehensive to evaluate in practice. Check items are commonly rated by subjective utility function; i.e., evaluator's significant judgment. Since human judgment includes fuzziness (vagueness) inherently in spite of its significance, fuzzy set theory is useful in this case. The paper illustrates a evaluation method using fuzzy checklist where check items are rated as fuzzy numbers. Pairwise comparison data is used to determine the weights of check items, since it has comparative advantage for human's fuzzy judgment. Sample of BASIC program is provided for microcomputer. When uncertainty is due to subjectivity or imprecision of data, this method can be applied to practical problems widely.

• The Korean Journal of Health Service Management
• /
• v.11 no.1
• /
• pp.27-42
• /
• 2017

Objectives : This study analyzes the characteristics of hospital organization structures, insurance claims reviews and assessment tasks and their effects on hospitals in Pusan. Methods : The data for this study were collected through interview and self-administered surveys in 109 hospitals. The study included only - hospitals with a minimum of 50beds and excluded those providing only dental, psychiatric, or long-term care. Results : The findings of this study state that the number of beds has an influence on the organizitional structure. Conclusions : Hospital managements should seek human resources management(the insurance claims reviewer and evaluator) schemes that take into account the characteristics of the medical institution. In addition, insurance claims review and assessment tasks in hospitals require considerable knowledge and experience, and hospitals should be equipped with staff that have the relevant expertise. Therefore, to further deepen knowledge, comprehensive training should be continuously carried out in order to produce specialists in claims review and assessment.

• Journal of the Ergonomics Society of Korea
• /
• v.12 no.2
• /
• pp.85-91
• /
• 1993

Data obtained for sensory evaluation have a wide dispersion and fuzziness since human sensory organs are used as a means of measuring sensation instead of measuring instruments. Such dispersion and fuzziness are caused by all kinds of time error and have a great influence on the sensory evaluation, but most of previous papers not consider time errors. In this study, the comparative judgement capability of the evaluator was discriminated by means of the eigen- structure analysis on the premise that evaluation values of sensory evaluators obtained by a paired-comparison become different by the order of sample presentation.

• Proceedings of the ESK Conference
• /
• 1993.10a
• /
• pp.113-123
• /
• 1993

In a sensory evaluation, the data obtained by a result of evaluation have a wide dispersion and fuzziness because human sense organ is used as a means of measuring sensation instead of measuring instruments. These dispersion and fuzziness are caused by all kinds of time error and have a great influence on a sensory evaluation, but most of previous papers don't deal with these time errors. In this study, a comparative judgement capacity of an evaluator is discriminated by means of the eigen-structure analysis on the premise that evaluation value of sensory evaluators obtained by a paired-comparison become different by the order of sample presentation

• Phonetics and Speech Sciences
• /
• v.5 no.4
• /
• pp.109-119
• /
• 2013

The purpose of this paper is to show the tendency of evaluators in the pronunciation evaluation of English utterances. The tendency was visualized using the evaluation model of English pronunciation proposed in [1]. One hundred fifty female university students and four evaluators participated in the study. Students read eight English sentences aloud as evaluators evaluated English pronunciation by their own criteria. The models based on their pronunciation evaluation proved to be efficient in showing their evaluation tendency in terms of the fundamental frequency, intensity, segmental durations, and segmental spectra as compared to those of the five native speakers of English chosen for building the models. However, human evaluators were not always consistent in their evaluation and sometimes gave conflicting scores to the same students.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.46
• /
• pp.173-180
• /
• 1998

In conventional probability-based quality evaluation of products with qualitative characteristics, many factors that affect the evaluation are not easily represented quantitatively, because the relation between reliability of human evaluator and each of these factors is not clear. In order to evaluate the quality of product with qualitative characteristics quantitatively, in this paper, the relation is represented as the shape of possibility distribution function of fuzzy set on the interval [0,1]. Furthermore, fuzzy reasoning is used to obtain the estimates of quality characteristics. And, it is supposed that many quality characteristics affected by the above factors are connected with the final characteristic through hierarchical structures. Finally, using the estimates gained from the final evaluation, qualitative characteristics are evaluated by use of concept of pattern recognition.