scholarly journals Decision Rules Acquisition for Inconsistent Disjunctive Set-Valued Ordered Decision Information Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Hongkai Wang ◽  
Yanyong Guan ◽  
Jilin Huang ◽  
Jianting Shen
Keyword(s):  
Information System ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Rules ◽  
Optimal Decision ◽  
Formal Framework ◽  
Rules Acquisition

Set-valued information system is an important formal framework for the development of decision support systems. We focus on the decision rules acquisition for the inconsistent disjunctive set-valued ordered decision information system in this paper. In order to derive optimal decision rules for an inconsistent disjunctive set-valued ordered decision information system, we define the concept of reduct of an object. By constructing the dominance discernibility function for an object, we compute reducts of the object via utilizing Boolean reasoning techniques, and then the corresponding optimal decision rules are induced. Finally, we discuss the certain reduct of the inconsistent disjunctive set-valued ordered decision information system, which can be used to simplify all certain decision rules as much as possible.

scholarly journals Evaluation of Hospital Information Systems in Iran: A Case Study in the Kerman Province

2016 ◽  
Vol 8 (12) ◽  
pp. 95 ◽  
Author(s):  
Somayeh Noori Hekmat ◽  
Reza Dehnavieh ◽  
Tahereh Behmard ◽  
Razieh Khajehkazemi ◽  
Mohammad Hossain Mehrolhassani ◽  
...  
Keyword(s):  
Information System ◽  
Decision Support ◽  
Information Systems ◽  
Resource Management ◽  
Decision Support Systems ◽  
Hospital Information System ◽  
Support Systems ◽  
Capital City ◽  
Positive Correlations ◽  
Three Components

<p>The Hospital Information system (HIS) is a comprehensive solution that offers complete data integration for different administrative levels in hospitals. To the extent that this system is close to its aim, the efficiency and quality of health care would increase in hospitals. The performance of HIS systems in 13 hospitals in Kerman province that they were evaluated based on four major criteria of ownership, location, education and software design. Seven hospitals were located in the capital city of Kerman province. According to teaching status of hospitals, four were teaching and based on their ownership three were public. The checklist of Iranian ministry of health and medical education, containing 20 indexes were used to evaluate each hospital’s HIS system in three main supportive, diagnosis and clinical sectors. Spearman correlation coefficient was used to assess the association between major sectors. The highest score (mean±SD) was observed in laboratory information systems (88.19±13.69), resource management (84.47±8.94), and registration information systems (84.47±18.06); the lowest scores were for telemedicine (45.58±3.86), staff information and timing systems (40±16.64), and decision support systems (23.6±4.97). The total score of HIS software was positively correlated with all its three components. There were strong positive correlations between all three components. The three factors of decision support systems, staff information systems and telemedicine have an important role in providing solutions for non-structured management problems and for leading decision-makers to insights, improving human resource management and solving the problem of access to services. Thus, based on the survey findings, those three factors need to be improved in the Iranian hospital information system.</p>

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

DSS and Multiple Perspectives of Complex Problems

2011 ◽  
pp. 286-295 ◽  
Author(s):  
David Paradice ◽  
Robert A. Davis
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Collaborative Work ◽  
Vantage Point ◽  
Decision Makers ◽  
Complex Problems ◽  
Knowledge Based ◽  
Spreadsheet Models

Decision support systems have always had a goal of supporting decision-makers. Over time, DSS have taken many forms, or many forms of computer-based support have been considered in the context of DSS, depending on one’s particular perspective. Regardless, there have been decision support systems (DSS), expert systems, executive information systems, group DSS (GDSS), group support systems (GSS), collaborative systems (or computer-supported collaborative work (CSCW) environments), knowledge-based systems, and inquiring systems, all of which are described elsewhere in this encyclopedia. The progression of decision support system types that have emerged follows to some degree the increasing complexity of the problems being addressed. Some of the early DSS involved single decision-makers utilizing spreadsheet models to solve problems. Such an approach would be inadequate in addressing complex problems because one aspect of problem complexity is that multiple stakeholders typically exist. Baldwin (1993) examined the need for supporting multiple views and provides the only attempt found in the information systems literature to operationalize the concept of a perspective. In his work, a view is defined as a set of beliefs that partially describe a general subject of discourse. He identified three major components of a view: the belief or notion to convey, a language to represent the notion, and a subject of discourse. He further described notions as comprising aspects and a vantage point. Aspects are the characteristics or attributes of a subject or situation that a particular notion emphasizes. A vantage point is described by the level of detail (i.e., overview or detailed analysis). Assuming the subject of discourse can be identified with the notion, Baldwin described how differences in views may occur via differences in the notion, the language, or both.

Rule Acquisition Based on Inconsistent Decision-Making Information System

2013 ◽  
Vol 411-414 ◽  
pp. 1975-1978
Author(s):  
De Xing Wang ◽  
Hong Yan Lu ◽  
Hong Wei Lu
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Knowledge Reduction ◽  
Inconsistent Information ◽  
Rule Acquisition ◽  
Theory Application ◽  
Rules Acquisition

Rule acquisition is a hot topic in the field of data mining. And the inconsistent information systems are widespread nowadays. However, rules acquisition methods are always the difficulty of rough set theory application in inconsistent decision information systems; So the paper proposes a new rule acquisition method. Firstly, we use maximum distribution reduction method for knowledge reduction in single decision-making inconsistent information system and then we use decision-making resolution matrix and decision-making matrix function to get the decision rules. Finally, we mine the rules from inconsistent decision-making information systems.

Attribute reduction and optimal decision rules acquisition for continuous valued information systems

2009 ◽  
Vol 179 (17) ◽  
pp. 2974-2984 ◽  
Author(s):  
Yan-Yong Guan ◽  
Hong-Kai Wang ◽  
Yun Wang ◽  
Fang Yang
Keyword(s):  
Information Systems ◽  
Attribute Reduction ◽  
Decision Rules ◽  
Optimal Decision ◽  
Rules Acquisition

scholarly journals Perkembangan Riset Penerapan Analytical Hierarchy Process Pada Decision Support Systems dan Dampak Penggunaanya di Indonesia

2021 ◽  
Vol 20 (2) ◽  
pp. 232
Author(s):  
I Putu Agus Priska Suryana ◽  
Nyoman Pramaita ◽  
Made Sudarma
Keyword(s):  
Information System ◽  
Decision Support ◽  
Linear Regression ◽  
Decision Support Systems ◽  
Analytical Hierarchy Process ◽  
Support Systems ◽  
Simple Linear Regression ◽  
Hierarchy Process

Intisari— Decision Support Systems dapat mendukung dalam mengambil keputusan untuk memecahkan kasus-kasus tidak terstruktur dan kompleks. Dalam tiap pengambilan sebuah keputusan akan selalu menghasilkan suatu pilihan akhir. Pada penerapan Sistem pendukung keputusan sering menggunakan metode Analytical Hierarchy Process (AHP). AHP dapat memecahkan kasus kompleks dimana kriteria yang diambil cukup banyak. Selain penerapan DSS, penulis juga menganalisis pengaruh penerapan Decision Support Systems pada suatu lembaga menggunakan Simple linear regression. Simple linear regression digunakan untuk mengetahui pengaruh variabel bebas terhadap variabel terikat. Dari beberapa review penelitian yang ada di Indonesia telah banyak yang menerapkan metode Analytical Hierarchy Process (AHP) untuk membantu dalam proses pendukung keputusan. Lembaga/ organisasi tersebut bergerak, dibidang Akademik, Swasta, Rumah Sakit, Pariwisata, dan Pemerintah. Penelitian ini mendapatkan hasil evaluasi pengembangan sistem AHP berbasis dekstop menjadi paling dominan dengan angka 58% dimana pada project pemerintahan menjadi yang terbanyak 48 %. Kata Kunci : Decision Support Systems, Analytical Hierarchy Process, AHP, Information System, Simple linear regression

scholarly journals Sistem Pendukung Keputusan Menentukan Pemutusan Hubungan Kerja Karyawan CV. Biring Ndu Cahaya Panglong Dengan Metode AHP

2021 ◽  
Vol 4 (1) ◽  
pp. 7-13
Author(s):  
Eko Lianto Damanik ◽  
R Mahdalena Simanjorang
Keyword(s):  
Information System ◽  
Decision Support ◽  
Decision Support Systems ◽  
Building Materials ◽  
Support Systems ◽  
Ahp Method ◽  
A Value ◽  
A Company ◽  
Employee Data

CV Biring Ndu Cahaya Panglong is a company that sells various types of building materials and equipment, located in Tanah Merah village, Dusun II Pendukuan, Galang District. Currently CV. Biring Ndu Cahaya Panglong does not have an information system that is able to assist in managing employee data. The employee data includes all data related to employee control activities. The AHP method is one of the methods in decision support systems that is unique compared to the others. There are 10 alternative names and 5 criteria in determining layoffs, namely negligence in work (C1), absenteeism (C2), theft of goods (C3), not neat (C4), spreading company disgrace (C5). The results obtained from this study with the highest score is Arya Sinaga with a value of 0.272 which indicates that the alternative with the highest ranking will be dismissed from work. 

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