Systems Engineering and Knowledge Management
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 31737
Special Issue Editor
Interests: system dynamics; systems engineering; modelling; simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The International Council on Systems Engineering, the leading authority in the realm of Systems Engineering (SE), defines this field of study as a transdisciplinary and integrative approach enabling the realization of the whole life cycle of any engineered system. However, the shift to the transdisciplinary view was based on intradisciplinary and multidisciplinary perspectives on SE. The intradisciplinary point of view is more or less traditional. It is closely associated with the design, development and implementation of information systems. These systems require the cooperation of two stakeholders: a business one (demand) and a technical one (supply). However, this setting can be applied to any domain in which someone needs a technical system and someone is capable of delivering it. Later, a multidisciplinary perspective was shaped. This perspective highlights the necessity of the cooperation of experts from various specialities to develop and deliver required complex systems. The necessity of the coordination, synchronization and orchestration of processes and resources is crucial. The role of a system engineer transforms a little bit as technical knowledge and expertise have to be complemented by the mastering of soft skills such as leadership, motivation or decision making. Finally, a transdisciplinary point of view stresses that engineering activities, regardless of the domain or the type of system developed, can be generalized and successfully applied during the development of any type of system. In this way, transdisciplinary SE focuses on basic concepts, their relationships, procedures, activities, best practices or fundamental principles of SE. It considers SE as a generic structured development process that proceeds from concept to production and operation.
Similarly, Knowledge Management (KM) can be understood from two perspectives. The first one is based on the technical perspective, in which KM is characterized by research in fields such as expert or knowledge-based systems. This perspective is mainly associated with the intradisciplinary approach to SE as a specific type of computer-based system is designed, developed and implemented. It operates with specific procedural or declarative knowledge in the form of rules, classes with their attributes, ontologies or different types of networks. It is an established technological discipline that embodies the lowest and the most basic level in which proper attention to knowledge is exercised. The second one is tied to soft systems, in which KM is considered an approach to organizations' improved performance. KM encompasses a knowledge-based and knowledge-orientated organizational management irrespective of organizational mandate or nature. Therefore, KM can be introduced in business organizations, educational institutions or even civil administration. In doing so, prominence to knowledge resources and knowledge processes is highlighted.
This Special Issue intends to publish a novel and original work focused on the mutual connection of SE and KM as outlined above. Prospective authors are anticipated to deal with various aspects of SE as an integrative approach, ranging from project management issues and requirements gathering to technical development and coordination of experts during the development of knowledge systems regardless of the level of their hardness or softness. In this way, an engineered system is considered a system, a technological or organizational one, engineered for work with knowledge in the broad sense of its understanding.
Prof. Dr. Vladimír Bureš
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- systems engineering methodologies
- systems engineer
- knowledge engineering
- knowledge management process
- knowledge and expert systems
- system life cycle
- systems design and development
- systems engineering and project management
- validation and verification processes
- requirement management
- modeling and simulation
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: The application of symbolic classifier in cervical cancer diagnosis
Authors: Nikola Anđelić; Ariana Lorencin; Matko Glučina; Ivan Lorencin
Affiliation: Istrian University of Applied Sciences
Abstract: Objectives: Cervical cancer is present in most cases of squamous cell carcinoma. In most cases, it is the result of an infection with human papillomavirus or adenocarcinoma. This type of cancer is the third most common cancer of the female reproductive organs. The risk groups for cervical cancer are mostly younger women who frequently change partners, have early sexual intercourse, are infected with human papillomavirus (HPV), and who are nicotine addicts. In most cases, the cancer is asymptomatic until it has progressed to the later stages. Cervical cancer screening rates are low, especially in developing countries and in some minority groups. Due to these facts, the introduction of a tentative cervical cancer screening based on a questionnaire can enable more diagnoses of cervical cancer in the initial stages of the disease.
Methods: In this research, publicly available cervical cancer data collected on 859 female patients are used. Each sample consists of 36 input attributes and four different outputs Hinselmann, Schiller, cytology, and biopsy.
Results: From the achieved results, it can be seen that the by utilization of symbolic classifier, high classification performances are achieved.