• Title, Summary, Keyword: Journal Selection Process

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A Historical Review of Mate Selection Process (배우자선택과정에 관한 사적 고찰)

  • 김혜선
    • Journal of the Korean Home Economics Association
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    • v.31 no.2
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    • pp.69-80
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    • 1993
  • This study intended to review the historical mate selection process and to present wholesome mate selection process. For this purpose, reviewing the contents of secondary sources and novel literature. The following conclusions were drawn from this study: Mate selection process was a kind of culture which was influenced by social atmosphere. And pre-17th century, most of the young people had social intercourse liberally. Therefore we must constitute wholesome mate selection culture through early socialization about heterosexual social intercourse.

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An Study on Project Selection based on Analytic Hierarchy Process (AHP를 이용한 프로젝트 선정에 관한 실증적 연구)

  • Kim, Joo-Wan;Lee, Wook-Gee;Kim, Pan-Soo
    • Journal of the Korea Safety Management and Science
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    • v.9 no.2
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    • pp.195-214
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    • 2007
  • The purpose of this study is to explore the applicability of AHP(Analytic Hierarchy Process) to select more productive projects among various proposed projects in a particular company. To achieve this research objective, the characteristics of project evaluation and selection are first reviewed with respect to when, where, and how the decision is made. Then the theoretical basis of the AHP is briefly reviewed along with its mathematical underpinnings to construct the framework of project evaluation and selection. To be more specific, the evaluation and selection criteria were reorganized in the AHP-based framework to make the process of project evaluation and selection more productive. Project evaluation and selection is one of the most important activities for the most companies to be more advantageous in the market. Despite the importance of decision making process of project selection, not many of how to choose the best project were suggested as the reliable project selection methods in the industries. It may be because it involves various activities related to conflict resolution among different evaluation criteria, high uncertainties of market, and the unclear tradeoff among various project objectives. Furthermore, the decision, once made at this point, tends to be irrevocable until the whole process turns out to be a complete success or failure. As the result, the AHP method showed better financial performance rather than the traditional method in a case study.

An Empirical Study on Supplier Selection based on Analytic Hierarchy Process (공급업체 선정에 대한 의사결정에 관한 연구)

  • Lee, Wook-Gee
    • Journal of Digital Convergence
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    • v.3 no.2
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    • pp.23-37
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    • 2005
  • On the situation cooperating with business partners on the supply chain, systematic decision making process is a critical issue for them. The two major issues of purchasing strategy such as selecting vendors and managing them are important part of their overall business activities. This study mainly focus on the former issue of the vendor selection. Through the empirical study, analytical hierarchy process (AHP) method was applied to select vendors among supplier vendors based on four selection criteria such as the level of quality, product on management ability, delivery, and price. The results of study showed the main criteria of vender selection was the ability of quality management. The vender selected based on AHP and the current selection method was different, but implicitly projected the dilemma situation between quality and price which occurs in decision making process of real life.

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A study on process-plan selection via multiple attribute decision-making approach and fuzzy quantification theory (다속성 의사결정법과 퍼지정량화 이론을 이용한 공정계획 선택에 관한 연구)

  • Leem, Choon-Woo;Lee, Noh-Sung
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.5
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    • pp.490-496
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    • 1997
  • This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem of process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such information because it is a useful tool when human judgment or evaluation is quantified via linguistic variables, and the proposed method is concerned with the selection of a process plan by derivation of the values of categories for each attribute. In this paper, a modified Fuzzy Quantification Theory(FQT) is described and the procedure of this approach is explained and examples illustrated.

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Investigation of SCI Journal Selection Process for the Journals of Korean Traditional Medicine (한국한의학 관련학회지의 SCI등재를 위한 준비과정에 관한 고찰)

  • Kim, Hyun-Do;Kang, Tae-Sik;Kwon, Ki-Rok
    • Journal of Pharmacopuncture
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    • v.6 no.3
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    • pp.87-90
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    • 2003
  • The purpose of this study is to investigate and analyze the selection process of the Science Citation Index(SCI). SCI has been the benchmarking medium of scientific journals for over 40 years by reviewing thousands of journals published each year. The discipline of Traditional Oriental Medicine has been gaining global interest in recent years, yet the number of related journals indexed by SCI has been minimal. Korean Medicine has been producing number of quality journals for decades, but lack of journals in the English language and other problems has hindered consideration for registering with SCI. This paper will focus on the journal selection process at ISI and recommend the criteria needed for a journal to be considered for SCI selection.

A Genetic Algorithm A, pp.oach for Process Plan Selection on the CAPP (CAPP에서 공정계획 선정을 위한 유전 알고리즘 접근)

  • 문치웅;김형수;이상준
    • Journal of Intelligence and Information Systems
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    • v.4 no.1
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    • pp.1-10
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    • 1998
  • Process planning is a very complex task and requires the dynamic informatioon of shop foor and market situations. Process plan selection is one of the main problems in the process planning. In this paper, we propose a new process plan selection model considering operation flexibility for the computer aided process planing. The model is formulated as a 0-1 integer programming considering realistic shop factors such as production volume, machining time, machine capacity, transportation time and capacity of tractors such as production volume, machining time, machine capacity, transportation time capacity of transfer device. The objective of the model is to minimize the sum of the processing and transportation time for all parts. A genetic algorithm a, pp.oach is developed to solve the model. The efficiency of the proposed a, pp.oach is verified with numerical examples.

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A study on the selection methodology of materials by design process in manufacturing process (제조공정에서 디자인 프로세스에 의한 소재선정 방법론 연구)

  • Song, Sung-il;Kang, Seung-min
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.29 no.1
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    • pp.39-44
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    • 2019
  • This study renewed the 'RE_Double Diamond' design process on the importance that material selection should reflect the needs of the consumer as much as possible in product development. In addition, the provider-centered secondary stakeholder map process among existing double-diamond methodologies has been applied, and the selection of materials through communication between designers and engineers, including the construction of information focused on visualization.

Effective Multi-label Feature Selection based on Large Offspring Set created by Enhanced Evolutionary Search Process

  • Lim, Hyunki;Seo, Wangduk;Lee, Jaesung
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.9
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    • pp.7-13
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    • 2018
  • Recent advancement in data gathering technique improves the capability of information collecting, thus allowing the learning process between gathered data patterns and application sub-tasks. A pattern can be associated with multiple labels, demanding multi-label learning capability, resulting in significant attention to multi-label feature selection since it can improve multi-label learning accuracy. However, existing evolutionary multi-label feature selection methods suffer from ineffective search process. In this study, we propose a evolutionary search process for the task of multi-label feature selection problem. The proposed method creates large set of offspring or new feature subsets and then retains the most promising feature subset. Experimental results demonstrate that the proposed method can identify feature subsets giving good multi-label classification accuracy much faster than conventional methods.

Modeling of Positive Selection for the Development of a Computer Immune System and a Self-Recognition Algorithm

  • Sim, Kwee-Bo;Lee, Dong-Wook
    • International Journal of Control, Automation, and Systems
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    • v.1 no.4
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    • pp.453-458
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    • 2003
  • The anomaly-detection algorithm based on negative selection of T cells is representative model among self-recognition methods and it has been applied to computer immune systems in recent years. In immune systems, T cells are produced through both positive and negative selection. Positive selection is the process used to determine a MHC receptor that recognizes self-molecules. Negative selection is the process used to determine an antigen receptor that recognizes antigen, or the nonself cell. In this paper, we propose a novel self-recognition algorithm based on the positive selection of T cells. We indicate the effectiveness of the proposed algorithm by change-detection simulation of some infected data obtained from cell changes and string changes in the self-file. We also compare the self-recognition algorithm based on positive selection with the anomaly-detection algorithm.