Brief Summary and Future Trends

2006 ◽  
pp. 280-281
Author(s):  
Jose Galindo ◽  
Angelica Urrutia ◽  
Mario Piattini
Keyword(s):  
Fuzzy Logic ◽  
Information Systems ◽  
Future Trends ◽  
Almost All

Fuzzy logic (Chapter I) allows us to bring the operation of information systems closer to the working methods of humans. People frequently deal with fuzzy concepts (for example, terms such as “almost all,” “the majority,” “approximately 8,” “high,” or “low”), which include a certain vagueness or uncertainty and which traditional information systems do not understand and therefore cannot use.

scholarly journals Aplicación de técnicas de SIG en la planificación del transporte en Extremadura (España)

Finisterra ◽  
2012 ◽  
Vol 38 (75) ◽  
Author(s):  
Julian Mora Aliseda ◽  
José Nogales Galán ◽  
José Gutierréz Gallego ◽  
Tomás Cortés Ruíz
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Road Transport ◽  
Geographical Information ◽  
Future Trends ◽  
Social Perspectives ◽  
Straight Line ◽  
Highway Transportation ◽  
Regional Community ◽  
Gravitational Pull

GIS IN ROAD TRANSPORT PLANNING IN EXTREMADURA (SPAIN). Increasingly more importance is given to the role played by infrastructures as an element that shapes the landscape. New highways modify conditions of access, which consequently influences potential regional development. In this sense, Geographical Information Systems (GIS) are suitable tools for the calculation of accessibility levels and the implementation of cartographical outputs and results. In the light of these premises, this work is aimed at designing a GIS transportation model in the Regional Community of Extremadura in order to make an inventory and to plan and analyse regional infrastructures from economic and social perspectives. It is also our aim to evaluate the effects derived from infrastructure changes on the landscape by considering the highway transportation systems.In this sense, the calculation of shorter pathways is of great importance in order to achieve realistic accessibility GIS models. These models need calculations of the distance between couples of objects. By means of the calculation of the shortest pathways, distances can be precisely measured through the network that monitors the movements instead of using straight-line distances. By using GIS, models can be created that allow us to predict future trends. In order to study the potential of the designed model, different indicators have been determined showing the communication levels in different areas of Extremadura. Indicators calculated for the different population centres and areas are accessibility in absolute and relative terms, times of minimum access and the gravitational pull in comparison with the most significant populated areas. Maps are then generated with the results obtained from each of the indicators.

Rekomendasi Grup Pada Website Alumni Teknik Informatika Universitas Muhammadiyah Malang

Repositor ◽  
2020 ◽  
Vol 2 (12) ◽  
pp. 1647
Author(s):  
Hermansyah Adi Saputra ◽  
Galih Wasis Wicaksono ◽  
Yufis Azhar
Keyword(s):  
Data Mining ◽  
Information System ◽  
Information Systems ◽  
Tracer Study ◽  
Group Recommendation ◽  
Number Of Clusters ◽  
Average Value ◽  
Exchange Information ◽  
Group Object ◽  
Almost All

AbstrakBelakangan ini hampir seluruh universitas yang ada di indonesia memiliki sistem informasi alumninya sendiri-sendiri. Sistem informasi alumni mampu memberikan informasi tentang kondisi alumninya setelah menyelesaikan masa perkuliahannya. Alumni merupakan aktor yang berperan penting dalam pendidikan. Saat ini jurusan Informatika Fakultas Teknik Universitas Muhammadiyah Malang telah memiliki website alumni. Permasalahannya belum adanya sistem yang memberikan alumni rekomendasi grup pada sistem, sehingga para alumni mampu saling bertukar informasi didalamnya. Dengan adanya data alumni dan juga di dukung dengan adanya tracer study, dapat di bentuk suatu rekomendasi grup dari data tracer study. K-medoid adalah metode pengelompokan data ke  dalam  sejumlah cluster  tanpa  adanya  struktur  hirarki antara satu dengan yang lainnya. Algoritma k-medoid memiliki nilai coefficient yang lebih tinggi di bandingkan dengan k-means dalam penelitian ini. Yang mana k-medoid mendapatkan nilai rata-rata Silhouette Score 0.7325888099 dalam pengujian dengan jumlah cluster 5 dan perulangan sebanyak 10 kali. Jika dibandingkan dengan k-means yang hanya memiliki nilai rata-rata Silhouette Score 0.6872873866.AbstractLately, Almost all universities in Indonesia have their own alumni information systems. The alumni information system is able to provide information about the condition of its alumni after collage graduation. Alumni are actors who play important role in education. Currently, the Department of Informatics, Faculty of Engineering, University of Muhammadiyah Malang has an alumni website.  The problem is the absence of system that gives alumni group recommendation on the system, so that alumni are able to exchange information in this website. With the alumni data and also supported by the existence of a tracer study, it can be formed as group recommendation from the data tracer study. Clustering is one of tools in data mining that aims to group object into clusters. K-medoid is a method of grouping data into a number of clusters without hierarchical structure from one another. The k-medoid algorithm has higher coefficient value compared to k-means in this study. This K-medoid gets an average value of Silhouette Score 0.7325888099 in testing with the number of clusters 5 and repetitions 10 times. When compared with k-means which only has an average value of Silhouette Score 0.6872873866.

Risks Evaluation and IT Audit Aspects of Business Intelligence Solutions

2010 ◽  
pp. 17-40
Author(s):  
Andrea Ko
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Information Systems ◽  
Business Intelligence ◽  
Decision Making Process ◽  
Future Trends ◽  
Security Risks ◽  
Business Intelligence Systems ◽  
Audit Approach ◽  
It Audit

Many organizations are struggling with a vast amount of data in order to gain valuable insights and get support in their decision-making process. Decision-making quality depends increasingly on information and the systems that deliver this information. These services are vulnerable and risky from security aspects, and they have to satisfy several requirements, like transparency, availability, accessibility, convenience, and compliance. IT environments are more and more complex and fragmented, which means additional security risks. Business intelligence solutions provide assistance in these complex business situations. Their main goal is to assist organizations to make better decisions. Better decisions means that these solutions support the management of risks, and they have a key role in raising revenue and in reducing cost. The objectives of this chapter are to give an overview of the business intelligence field and its future trends, to demonstrate the most important business intelligence solutions, meanwhile highlighting their risks, business continuity challenges, and IT audit issues. In spite of the fact that this chapter focuses on the business intelligence solutions and their specialities, risk management and the related IT audit approach can be applied for other categories of information systems. IT audit guidelines, best practices, and standards are presented as well, because they give effective tools in controlling process of business intelligence systems.

Collective Meaning in E-Collaborating Groups

2011 ◽  
pp. 87-94
Author(s):  
Paul C. van Fenema ◽  
Peter J. van Baalen
Keyword(s):  
Information Systems ◽  
Theoretical Analysis ◽  
Human Factors ◽  
Qualitative Studies ◽  
Future Trends ◽  
Evolutionary Perspective ◽  
Organization Studies ◽  
Collective Meaning

The objective of this article is to categorize problems of developing collective meaning in e-collaborating groups, and to develop a theoretical analysis of these cases. We draw on a variety of qualitative studies from the areas of human factors, information systems, and organization studies that all focus on e-collaborating groups having difficulty to develop collective meaning. The article distinguishes problems of collective meaning in terms of expression and reflexivity. Next, an evolutionary perspective is developed that is used for analyzing these two categories. The article concludes with future trends relevant for academics and practitioners working in this area.

Growth of Online Schooling in Canada

2011 ◽  
pp. 1060-1065
Author(s):  
M. Haughey
Keyword(s):  
Rural Areas ◽  
Secondary School Students ◽  
New Technology ◽  
Alternative Form ◽  
School Students ◽  
Long Distance ◽  
School Aged Children ◽  
Based Instruction ◽  
Almost All

In Canada, a country of vast landscapes, northern climates and relatively few people, the formal provision of education has always involved alternatives. Records going back to the late 1800s discuss pilot projects that provided education to school-aged children in remote rural areas. Correspondence education, beginning in 1919 and offered by almost all provincial authorities, depended on the post and long-distance haulage to link students and teachers (Haughey, 1990). Each new technology became a part of an educational provision that was of particular importance to secondary school students, who were unable to obtain sufficient courses at their local school to qualify for a high school diploma. More recently, the advent of computers and the Internet have transformed this alternative form of education. It has changed from one for those unable to attend classroom-based instruction to one that is being chosen by students for its adaptability and flexibility, as well as for the ongoing reasons associated with long distances to schools, unavailable courses, and family and personal circumstances. In this chapter, I review the development and present configurations of online schooling in Canada and discuss trends and issues this new form of provision has raised.

scholarly journals Fuzzy Logic Expert System for Classifying Solonchaks of Algeria

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Samir Hadj Miloud ◽  
Kaddour Djili ◽  
Mohamed Benidir
Keyword(s):  
Fuzzy Logic ◽  
Diagnostic Criteria ◽  
Soil Classification ◽  
Soil System ◽  
Inference System ◽  
Reference Base ◽  
The North ◽  
The World ◽  
Membership Value ◽  
Almost All

Under arid and semiarid regions of the North of Africa, the soils considered as Solonchaks contain both calcium carbonate and gypsum. When these elements are presented at high quantities, these Solonchaks are getting close to Calcisol or Gypsisol. The World Reference Base (WRB) for soil classification does not take into account the soil as a continuum. Instead, this international soil system classification is based on threshold values that define hierarchical diagnostic criteria. Consequently, the distinction between Solonchaks, Calcisol, and Gypsisol is still not clear. To avoid this situation, fuzzy logic based on the Mamdani inference system (MFIS) was used to determine to what extent soil classified as Solonchak in WRB can interfere with Calcisols and Gypsisols. For that purpose, membership values of Solonchaks (Is), Calcisols (Ic), and Gypsisols (Ig) indices were calculated from 194 soil profiles previously classified as Solonchak in WRB. Data analyses revealed that Solonchaks soils were subdivided into Solonchaks (61%), Calcisols (1%), Gypsisols (0.5%), Solonchaks-Calcisols intergrades (29%), Solonchaks-Gypsisols intergrades (5%), and Solonchaks-Calcisols-Gypsisols intergrades (2%). Moreover, Is, Ic, and Ig showed high significant correlations with almost all WRB diagnostic criteria (P<0.05). Under our study, soil classification obtained by employing MFIS was analogous to that provided by WRB; however, MFIS exhibited high precision concerning the membership value between soils and their intergrades. Therefore, the application of MFIS for other soil classifications in the world is possible and could lead to improvement in conventional soil classification.

scholarly journals Applying QCA with Fuzzy Logic to Generate a Refined set of Factors for Information Systems Adoption: The Case of Public Ecuadorian Organization, an Example of IS Adoption in Emerging Economies

2019 ◽  
Vol 15 (03) ◽  
pp. 33 ◽  
Author(s):  
Nayeth I. Alcivar ◽  
Louis Sanzogni ◽  
Luke Houghton
Keyword(s):  
Fuzzy Logic ◽  
Information Systems ◽  
Technology Adoption ◽  
Latin American ◽  
Emerging Economies ◽  
Qualitative Comparative Analysis ◽  
Adoption Studies ◽  
Local Contexts ◽  
Logic Process ◽  
Geographical Scope

Information Systems (IS) research continues to contribute to a long list of technology adoption factors from many studies conducted outside the Latin American (LAT) nations. These investigations fail to appropriate the context of IS adoption in LAT. This fail is mainly due to the geographical scope of existing studies. Those aimed at North America for example, are out of context regarding a diverse technological approach when applied to LAT. Further, uncertainty and an inability to predict outcomes of technology adoption, create variances in results because the local contexts are not considered. The reasons for this are unclear from existing studies. To detailed explore this problem further, a Qualitative Comparative Analysis (QCA) was applied to LAT economies, expecting to assess a refined set of drivers from existing technology adoption studies. A Fuzzy Logic process was used to refine these drivers. The research found that fourteen themes are candidates for future study purposes. The drivers provide LAT stakeholders, as well as actors from other emerging economies, with a contextual frame that can be the basis for adopting technology more meaningfully within these nations

Trends in Human Factors Research for Military Information Systems

1970 ◽  
Vol 12 (2) ◽  
pp. 177-186
Author(s):  
Sylvia R. Mayer
Keyword(s):  
Information Systems ◽  
Human Factors ◽  
Software Design ◽  
Human Performance ◽  
Historical Context ◽  
Point Of View ◽  
Future Trends ◽  
Behavioral Sciences ◽  
Human Factors Research

Military information systems are surveyed in an historical context starting with the SAGE system of the 1950's and projecting to the anticipated supersystems of the 1970's. Human functions in development, operation, and use of these systems are considered from a human factors point of view. This evolutionary overview shows how hardware and software design impact on human performance and how this impact has focused and expanded research in the computer sciences and in the behavioral sciences. The evolving human functions in military information systems are described. These descriptions serve as a basis for defining and researching critical human factors opportunities and problems. Paralleling this analysis is a review of several past, current, and future trends in human factors research for future military information systems.

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