A study on the classification of research topics based on COVID-19 academic research using Topic modeling (토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구)
- Yoo, So-yeon;Lim, Gyoo-gun
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- Journal of Intelligence and Information Systems
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- v.28 no.1
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- pp.155-174
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- 2022
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From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (
) were the topic modeling results for each research topic (
) was found to be derived from For example, as a result of topic modeling for papers related to 'vaccine', a new topic titled Topic 05 'neutralizing antibodies' was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to 'treatment', a new topic called Topic 05 'cytokine' was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.
Taxonomical Classification and Genesis of Anryong Series Distributed on Mountain Foot Slope (산록경사지 토양인 안룡통의 분류 및 생성)
- Song, Kwan-Cheol;Hyun, Byung-Keun;Sonn, Yeon-Kyu;Zhang, Yong-Seon;Park, Chan-Won;Jang, Byoung-Choon
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- Korean Journal of Environmental Agriculture
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- v.29 no.1
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- pp.27-32
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- 2010
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This study was conducted to reclassify Anryong series based on the second edition of Soil Taxonomy and to discuss the formation of Anryong series distributed on the mountain foot slope. Morphological properties of typifying pedon of Anryong series were investigated and physico-chemical properties were analyzed according to Soil survey laboratory methods manual. The typifying pedon of Anryong series has brown (7.5YR 4/4) loam Ap horizon (0-22 cm), strong brown (7.5YR 4/6) cobbly clay loam BAt horizon (22-35 cm), strong brown (7.5YR 4/6) cobbly clay loam Bt1 horizon (35-55 cm), reddish brown (5YR 5/4) cobbly clay loam Bt2 horizon (55-82 cm), and brown (7.5YR 5/4) cobbly clay loam Bt3 horizon (82-120 cm). The typifying pedon has an argillic horizon from a depth of 22 to 120 cm and a base saturation (sum of cations) of less than 35% at 125 cm below the upper boundary of the argillic horizon. It can be classified as Ultisol, not as Alfisol. It has udic soil moisture regime, and can be classified as Udult. Also that meets the requirements of Typic Hapludults. It has 18-35% clay at the particle-size control section, and have mesic soil temperature regime. Therefore Anryong series can be classified as fine loamy, mesic family of Typic Hapludults, not as fine loamy, mesic family of Ultic Hapludalfs. Anryong series occur on mountain foot slope positions in colluvial materials derived from acid and intermediate crystalline rocks. They are developed as Ultisols with clay mineral weathering, translocation of clays to accumulate in an argillic horizon, and leaching of base-forming cations from the profile for relatively long periods under humid and temperate climates in Korea.
A Study of Physiological Changes by The Types of Paralysis Model in Activity Daily of Living (마비모델 유형별 일상생활활동 수행 시 생리적 변화 연구)
- Sim, Kyoung-Bo;Kim, Dong-Hyun;Kim, Hee-Jung;Moon, Jung-In;Kim, Hyoung-Min
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- The Journal of Korean society of community based occupational therapy
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- v.1 no.2
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- pp.21-30
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- 2011
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The previous studies were prevalent a study of treatment like a environmental modification or compensative approach and intervention which used in today to paralyzed patients. These interventions were related with occupational therapy widely. The purpose of this study is to provide a basic datum for environmental modification, compensative approach, and intervention observing physiological changes which is shown in early paralyze patients. The subjects were 40 students who were 20 female and 20 male in a college. The students were devided into hemiplegic and paraplegic model. The model was designed using a experimental cloths. A instrument to measure body composition was a precision instrument. The results of the study were as follow: First, there was no different homogeneity between activity daily of living of hemiplegic and paraplegic model. Second, there was a significant different body water and basal metabolic rate between before and after activity daily of living of hemiplegic model. Third, there was a significant different body water and basal metabolic rate between before and after activity daily of living of paraplegic model. Forth, there were no significant different physiological change between after activity daily of living of hemiplegic model and paraplegic model. We observed early changes of body composition using a hemiplegic and paraplegic model. We could know it was reduced body water rate and basal metabolic rate in regardless of type of paralysis. Therefore, it is important to know these physiological changes of paralyzed patients and improve body water and basal metabolic rate of the patients.
Behavioural Analysis of Password Authentication and Countermeasure to Phishing Attacks - from User Experience and HCI Perspectives (사용자의 패스워드 인증 행위 분석 및 피싱 공격시 대응방안 - 사용자 경험 및 HCI의 관점에서)
- Ryu, Hong Ryeol;Hong, Moses;Kwon, Taekyoung
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- Journal of Internet Computing and Services
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- v.15 no.3
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- pp.79-90
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- 2014
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User authentication based on ID and PW has been widely used. As the Internet has become a growing part of people' lives, input times of ID/PW have been increased for a variety of services. People have already learned enough to perform the authentication procedure and have entered ID/PW while ones are unconscious. This is referred to as the adaptive unconscious, a set of mental processes incoming information and producing judgements and behaviors without our conscious awareness and within a second. Most people have joined up for various websites with a small number of IDs/PWs, because they relied on their memory for managing IDs/PWs. Human memory decays with the passing of time and knowledges in human memory tend to interfere with each other. For that reason, there is the potential for people to enter an invalid ID/PW. Therefore, these characteristics above mentioned regarding of user authentication with ID/PW can lead to human vulnerabilities: people use a few PWs for various websites, manage IDs/PWs depending on their memory, and enter ID/PW unconsciously. Based on the vulnerability of human factors, a variety of information leakage attacks such as phishing and pharming attacks have been increasing exponentially. In the past, information leakage attacks exploited vulnerabilities of hardware, operating system, software and so on. However, most of current attacks tend to exploit the vulnerabilities of the human factors. These attacks based on the vulnerability of the human factor are called social-engineering attacks. Recently, malicious social-engineering technique such as phishing and pharming attacks is one of the biggest security problems. Phishing is an attack of attempting to obtain valuable information such as ID/PW and pharming is an attack intended to steal personal data by redirecting a website's traffic to a fraudulent copy of a legitimate website. Screens of fraudulent copies used for both phishing and pharming attacks are almost identical to those of legitimate websites, and even the pharming can include the deceptive URL address. Therefore, without the supports of prevention and detection techniques such as vaccines and reputation system, it is difficult for users to determine intuitively whether the site is the phishing and pharming sites or legitimate site. The previous researches in terms of phishing and pharming attacks have mainly studied on technical solutions. In this paper, we focus on human behaviour when users are confronted by phishing and pharming attacks without knowing them. We conducted an attack experiment in order to find out how many IDs/PWs are leaked from pharming and phishing attack. We firstly configured the experimental settings in the same condition of phishing and pharming attacks and build a phishing site for the experiment. We then recruited 64 voluntary participants and asked them to log in our experimental site. For each participant, we conducted a questionnaire survey with regard to the experiment. Through the attack experiment and survey, we observed whether their password are leaked out when logging in the experimental phishing site, and how many different passwords are leaked among the total number of passwords of each participant. Consequently, we found out that most participants unconsciously logged in the site and the ID/PW management dependent on human memory caused the leakage of multiple passwords. The user should actively utilize repudiation systems and the service provider with online site should support prevention techniques that the user can intuitively determined whether the site is phishing.
Wintertime Extreme Storm Waves in the East Sea: Estimation of Extreme Storm Waves and Wave-Structure Interaction Study in the Fushiki Port, Toyama Bay (동해의 동계 극한 폭풍파랑: 토야마만 후시키항의 극한 폭풍파랑 추산 및 파랑 · 구조물 상호작용 연구)
- Lee, Han Soo;Komaguchi, Tomoaki;Yamamoto, Atsushi;Hara, Masanori
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- Journal of Korean Society of Coastal and Ocean Engineers
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- v.25 no.5
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- pp.335-347
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- 2013
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In February 2008, high storm waves due to a developed atmospheric low pressure system propagating from the west off Hokkaido, Japan, to the south and southwest throughout the East Sea (ES) caused extensive damages along the central coast of Japan and along the east coast of Korea. This study consists of two parts. In the first part, we estimate extreme storm wave characteristics in the Toyama Bay where heavy coastal damages occurred, using a non-hydrostatic meteorological model and a spectral wave model by considering the extreme conditions for two factors for wind wave growth, such as wind intensity and duration. The estimated extreme significant wave height and corresponding wave period were 6.78 m and 18.28 sec, respectively, at the Fushiki Toyama. In the second part, we perform numerical experiments on wave-structure interaction in the Fushiki Port, Toyama Bay, where the long North-Breakwater was heavily damaged by the storm waves in February 2008. The experiments are conducted using a non-linear shallow-water equation model with adaptive mesh refinement (AMR) and wet-dry scheme. The estimated extreme storm waves of 6.78 m and 18.28 sec are used for incident wave profile. The results show that the Fushiki Port would be overtopped and flooded by extreme storm waves if the North-Breakwater does not function properly after being damaged. Also the storm waves would overtop seawalls and sidewalls of the Manyou Pier behind the North-Breakwater. The results also depict that refined meshes by AMR method with wet-dry scheme applied capture the coastline and coastal structure well while keeping the computational load efficiently.
The Study of Fat Infiltration Ratio in Lumbar Paraspinal Muscle of Patient with Herniated Intervertebral Lumbar Disc (요추간판 수핵 탈출증 환자의 요부 척추 주위근 내 지방침윤 비율에 관한 연구)
- Kong, Bong-Jun;Lee, Jung-Ho;Yong, Min-Sik;Kim, Jin-Sang
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- Journal of the Korea Academia-Industrial cooperation Society
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- v.13 no.11
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- pp.5254-5260
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- 2012
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The purpose of this study is to find the relationship between lumber Herniated Nuclesus Pulposus of specific part and fat infiltration in paraspinal muscle. Also we intended to find the relationship between Body Mass Index(BMI) and fat infiltration ratio in the lumber paraspinal muscle based on the sexes of patients. We conducted this study of patients who visited our hospital from May, 2010 to May, 2012. The subjects are composed of 40 patients(20 females and 20 males), who are 30 to 50 years old suffering from severe lumber herniated nuclesus pulposus, who had or were going to have operation treatment. BMI is measured through anthropometry of each patient and fat infiltration inside the muscle is estimated by measuring the cross section area of lumbar paraspinal muscle from mid-cross section of disc(L2-S1) and fat infiltration ratio. The data of this study are analyzed by independent t-test to figure out the difference of fat infiltration between male and female, and by paired sample T-test after getting mean and standard deviation to find the changes of fat infiltration of lumbar on each level. Also correlation analysis is done by setting age as a control variable to find the correlation between BMI and fat infiltration of the whole lumbar. As a result, we could get only the meaningful difference between the sexes on upper lumber part(L2-L3) while we couldn't find any significant difference in the rest of lumbar(L3-S1). Besides, the changes of fat infiltration ratio on each lumbar level increased rapidly from lumbar 3,4 to lumbar 4,5. We also found that there is no correlation between fat infiltration ratio of lumbar paraspinal muscle(L2-S1) and BMI.
Three-dimensional Model Generation for Active Shape Model Algorithm (능동모양모델 알고리듬을 위한 삼차원 모델생성 기법)
- Lim, Seong-Jae;Jeong, Yong-Yeon;Ho, Yo-Sung
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- Journal of the Institute of Electronics Engineers of Korea SP
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- v.43 no.6 s.312
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- pp.28-35
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- 2006
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Statistical models of shape variability based on active shape models (ASMs) have been successfully utilized to perform segmentation and recognition tasks in two-dimensional (2D) images. Three-dimensional (3D) model-based approaches are more promising than 2D approaches since they can bring in more realistic shape constraints for recognizing and delineating the object boundary. For 3D model-based approaches, however, building the 3D shape model from a training set of segmented instances of an object is a major challenge and currently it remains an open problem in building the 3D shape model, one essential step is to generate a point distribution model (PDM). Corresponding landmarks must be selected in all1 training shapes for generating PDM, and manual determination of landmark correspondences is very time-consuming, tedious, and error-prone. In this paper, we propose a novel automatic method for generating 3D statistical shape models. Given a set of training 3D shapes, we generate a 3D model by 1) building the mean shape fro]n the distance transform of the training shapes, 2) utilizing a tetrahedron method for automatically selecting landmarks on the mean shape, and 3) subsequently propagating these landmarks to each training shape via a distance labeling method. In this paper, we investigate the accuracy and compactness of the 3D model for the human liver built from 50 segmented individual CT data sets. The proposed method is very general without such assumptions and can be applied to other data sets.
An Exploratory study on the Direction of Home Economics Education associated with the future social change: focusing on the new recognition of the characteristic as the Subjects for Life and Happiness (미래 사회의 변화와 가정과교육의 방향 탐색 - '삶 중심 교과'와 '행복 교과'로서의 성격 재인식을 중심으로 -)
- Wang, Seok-Soon
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- Journal of Korean Home Economics Education Association
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- v.28 no.3
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- pp.17-32
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- 2016
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This exploratory study which applied environmental scanning method to analyse a change in a future society tried to diagnose a reaction ability of our education system for the change in the future society. In addition, the study tried to explore an adequate direction for Home Economics Subject to be an mandatory subject continuously toward the change in the future society. Main changes in the future society can be expected as 1) demographic change due to low birth rate and aging society, 2) an increasing threat of a human living environment due to unexpectable natural disasters and accidents, 3) a radical progress into a ubiquitous computing environment led by AI, 4) an advent of a borderless economic society and a change for jobs, 5) a change in North Korea, and so on. Our education system which mostly concentrates on education to develop constructive intelligence by halving the society and schooling as yet, however, is diagnosed as it has a paradox that can not understand an emotional competency as a target for studying. Home Economics Subject is worth as the subject that can exactly complement a blind spot of our education system which can not respond to the future society adequately. This is because Home Economics Subject has had a characteristic as a 'Subject of Life' traditionally that has dealt with an overall 'life' of human beings, and the characteristic is favorable to develop human practical intelligence. Thus, because the 'life' is the main point of Home Economics Subject, it has the characteristic as a 'Subject of Happiness' which is the most effective method to develop a tendency to appreciate, a sense of empathy, and lots of pro-social behaviors that are important capacities to seek for happiness. As Alderfer's ERG Theory is to understand human beings' behavior based on the satisfactory of human beings' hierarchical desires, it is suggested as an adequate frame for the theory to restructure the characteristic of Home Economics Subject which develops the 'capacity to seek for happiness' by focusing the 'life', into core concept and core capacity of curriculum. A follow-up study should make a connection between ERG Theory and core concept and core capacity of curriculum to explore how the theory can be reflected on Home Economics curriculum.
The Impact of Organizational Internal IT Capability on Agility and Performance: The Moderating Effect of Managerial IT Capability and Top Management Championship (기업 내적 IT 자원이 기업 민첩성과 성과에 미치는 영향: 관리적 IT 능력과 경영진 존재의 조절효과)
- Kim, Geuna;Kim, Sanghyun
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- Information Systems Review
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- v.15 no.3
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- pp.39-69
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- 2013
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Business value of information technology has been the biggest interest of all such as practitioners and scholars for decades. Information technology is considered as the driving force or success factor of firm agility. The general assumption is that organizations making considerable efforts in IT investment are more agile than the organizations that are not. However, IT that should help the strategies of the firm that can hinder business or impede agility of the firm occasionally. In other words, it is still unknown if IT helps the agility of the firm or bothers it. Therefore, we note that contrary aspects of IT such as promotion and hindrance of firm agility have been observed frequently and theorize the relationships between them. In other words, we propose a rationale that firms should need to develop superior firm-wide IT capability to manage IT resources successfully in order to realize agility. Thus, this paper theorizes two IT capabilities, including technical IT capability and managerial IT capability as key factors impacting firm agility and firm performance. Further, we operationalize firm agility into two sub-types, including operational adjustment agility and market capitalizing agility. The data from 171 firms was analyzed using PLS approach. The results showed that technical IT capability has positive impact on firm agility and managerial IT capability had positive moderating effects between technical IT capability and firm agility. In addition, it was identified that top management championship positively moderates between agility and firm performance. Finally, it was indicated that firm agility was a very important causal variable of firm performance. Our study provides more exquisite and practical empirical evidences in the relationship between IT capability and firm agility by proposing applicable solution although IT has some contradicting effects on firm agility. Our findings suggest many useful implications to agility related researches in relatively primitive stage and working level officers in organizations.
Applications of Fuzzy Theory on The Location Decision of Logistics Facilities (퍼지이론을 이용한 물류단지 입지 및 규모결정에 관한 연구)
- 이승재;정창무;이헌주
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- Journal of Korean Society of Transportation
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- v.18 no.1
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- pp.75-85
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- 2000
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In existing models in optimization, the crisp data improve has been used in the objective or constraints to derive the optimal solution, Besides, the subjective environments are eliminated because the complex and uncertain circumstances were regarded as Probable ambiguity, In other words those optimal solutions in the existing models could be the complete satisfactory solutions to the objective functions in the Process of application for industrial engineering methods to minimize risks of decision-making. As a result of those, decision-makers in location Problems couldn't face appropriately with the variation of demand as well as other variables and couldn't Provide the chance of wide selection because of the insufficient information. So under the circumstance. it has been to develop the model for the location and size decision problems of logistics facility in the use of the fuzzy theory in the intention of making the most reasonable decision in the Point of subjective view under ambiguous circumstances, in the foundation of the existing decision-making problems which must satisfy the constraints to optimize the objective function in strictly given conditions in this study. Introducing the Process used in this study after the establishment of a general mixed integer Programming(MIP) model based upon the result of existing studies to decide the location and size simultaneously, a fuzzy mixed integer Programming(FMIP) model has been developed in the use of fuzzy theory. And the general linear Programming software, LINDO 6.01 has been used to simulate, to evaluate the developed model with the examples and to judge of the appropriateness and adaptability of the model(FMIP) in the real world.
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