• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2005.05a
• /
• pp.283-291
• /
• 2005

The development of mobile applications is fast in recent years. However, nearly all applications are for messaging, financial, locating services based on simple interactions with mobile users because of the limited screen size, narrow network bandwidth, and low computing power. Processing an algorithm for supporting a group decision process on mobile devices becomes impossible. In this paper, we introduce the mobile-oriented simple interactive procedure for support a group decision making process. The interactive procedure is developed for multiple objective linear programming problems to help the group select a compromising solution in the mobile Internet environment. Our procedure lessens the burden of group decision makers, which is one of necessary conditions of the mobile environment. Only the partial weak order preferences of variables and objectives from group decision makers are enough for searching the best compromising solution. The methodology is designed to avoid any assumption about the shape or existence of the decision makers's utility function. For the purpose of the experimental study of the procedure, we developed a group decision support system in the mobile Internet environment, MOBIGSS　and applied to an allocation problem of investor assets.

• Proceedings of the KAIS Fall Conference
• /
• 2003.11a
• /
• pp.65-69
• /
• 2003

As complex mathematical models are increasingly adopted for business decision-making, difficulties arise in reusing solvers (i.e., model solving algorithms) against diverse models and data sets and thus the collaboration among users (model/solver builders and decision makers) in multiple departments becomes very difficult. To facilitate the solver reuse, this paper adopts the Web services technologies as the base technologies for linking the solvers to the models, both of which are created on different modeling paradigms and different system platforms, in unified system architecture. Specifically, this paper focuses on designing an ontology that represents the interfacing semantics of the model-solver interactions in a general and standardized form. By referring to the ontology, a model management system (MMS) can autonomously suggest a set of compatible solvers and apply them to individual models even though the decision makers are not knowledgeable enough about all the details of the models and the solvers. Thus, this Web services based MMS would improve the reusability of the solvers by relieving the decision makers from the risk of erroneous application of a solver to syntactically and semantically incompatible models and the burden of considerable understanding of model and solver semantics.

• Journal of Technology Innovation
• /
• v.7 no.2
• /
• pp.21-36
• /
• 1999

This paper presents a R&D investment model for Information and telecommunications (I&T) technology, which can be used by group decision makers, using multiple objective linear programming (MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. The presented problem in this model can be formulated as a problem of optimizing a linear function over an efficient set of MOLP. Its application to the National R&D Project in I&T Industry is also presented. In this application, the Analytic Hierarchy Process (AHP) is proposed to estimate the weights, which are used as the coefficients in each objective function of the MOLP model and in a linear decision function. By solving this problem, it yields a suitable R&D investment ratio to each technology field. It is showed that the MOLP model can be useful decision aid in formulating R&D investment plan in I&T industry which needs to be decided by group decision makers, not by an individual. It is expected that the MOLP model works as the basis for planning R&D investment strategy in I&T industry.

• Proceedings of the International Microelectronics And Packaging Society Conference
• /
• 2004.09a
• /
• pp.123-134
• /
• 2004

• Proceedings of the Korean Nuclear Society Conference
• /
• 2001.05a
• /
• pp.530.2-530
• /
• 2001

• Korean Architects
• /
• s.494
• /
• pp.17-17
• /
• 2010

• Journal of the Korean Society of Clothing and Textiles
• /
• v.11 no.1
• /
• pp.71-78
• /
• 1987

The puropose of this study was to investigate the relationships between four aspects of clothing behavior ana marital adjustment. Marital adjustment was measured with the Spaniel's Marital Adjustment Scale. The questionnaire measuring clothing behavior consisted of items designed to assess dressing for self, dressing for others, self-concept regarding clothing and dependence in clothing. This questionnaire was selected and revised from inventories of such researchers as Pasnak, Sin, Lee, Park and Creekmore. This questionnaire was administered to 269 home makers in Seoul. Statistical analyses utilized in this study included correlation coefficients and $X^2$ test. The results were as followes: 1. Marital adjustment showed significant and positive relationships with dressing for self, dressing for others, ana self-concept regarding clothing. 2. Marital adjustment was negatively correlated to dependence in clothing.

• Journal of Technology Innovation
• /
• v.8 no.1
• /
• pp.49-71
• /
• 2000

This paper looks at "network" aspects of research and development (R'||'&'||'D) with a special focus on small and medium (S'||'&'||'M) automotive part makers in Korea. It throws light on recent changes in the technological capability building mechanism of Korean automotive firms. The Korean automotive firms have mostly built up technological capability from scratch. It is widely acknowledged that they have benefited from two cooperative relations: namely (1) the close cooperative relationship with their own assemblers and (2) technical assistance from auto parts makers abroad. Too much emphasis on these two links can, however, keep us from understanding new developments. This paper argues that auto parts firms have diversified their networks for technological development. It is based on the analysis of the data drawn from the survey on technological development activities of small and medium sized firms, which was carried out by the Korea Federation of Small and Medium Business. Many automotive firms have recently increased joint R'||'&'||'D links with university and/or research institution while their reliance on foreign sources have decreased.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.20 no.44
• /
• pp.485-496
• /
• 1997

To develop an Enterprise Data Model in Information Strategy Planning, it is essential that we first decide on the critical entities that need to be consistently managed in the enterprise. Identifying entities is a very crucial decision that has much influence on the subsequent phases in Information Engineering. Nevertheless, it is very subjective and usually depends on a decision makers experience and his/her own knowledge. In this paper, we propose a decision support system called CB*IMSS, which employs Case-Based Reasoning as the problem solution technique. By retrieving, analyzing and adapting some similar previous cases with a decision makers enterprise situations, this system can help them identify and decide the critical entities required for successful performance of the ISP.

• Architectural research
• /
• v.12 no.2
• /
• pp.85-92
• /
• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.