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What was the last propeller driven US fighter plane?
I believe the Grumman F7F Tigercat was the last operational US propeller fighter.
What are the types of Decision Support Systems?
A Decision Support System is a computer-based information system that assists business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in advance.
what is the difference between model driven and data driven DSS?
In a model-driven DSS, decision-making is based on predefined mathematical or statistical models, where users input data to generate output. In a data-driven DSS, decision-making is based on analyzing large volumes of historical data to identify patterns and trends, without necessarily relying on predefined models.
Are fighter jets the same as fighter aircrafts?
A "fighter" is a type of aircraft designed for a specific mission, i.e., fighting other aircraft. Early fighter aircraft were propeller driven, but since the 1960s, almost all fighter aircraft are powered by jet engines. The mission is the same, just the power plants have changed.
Select the Department of Defense's (DoD's) decision-support system described as DoD's primary resource allocation process that is calendar-driven.?
Planning, Programming, Budgeting, and Execution System (PPBE)
What is theDoD decision-support system that is event-driven and involves the process of periodic review and approval of programs to progress into subsequent acquisition life-c?
Defense Acquisition Managemenst System
What has the author Rakesh Biswas written?
Rakesh Biswas has written: 'Human ontology narratives' -- subject(s): Miscellanea, Philosophical anthropology, consciousness, fantasy, fiction, healthcare, medicine, ontology, philosophy, science 'User-driven healthcare and narrative medicine' -- subject(s): Clinical medicine, Decision Support Techniques, Community Networks, Narrative medicine, Information Systems, Consumer-driven health care, Narration, Social Support, Medical informatics, Decision making, Social networks 'Clinical solutions and medical progress through user-driven healthcare' -- subject(s): Clinical medicine, Medical informatics, Decision making
What is Communication-driven DSS?
Communication-driven Decision Support Systems (DSS) are designed to facilitate collaboration and communication among users, often in group decision-making environments. These systems emphasize the exchange of information and ideas, allowing stakeholders to share insights, discuss options, and reach consensus more effectively. They typically incorporate tools like chat functions, video conferencing, and shared workspaces, enabling real-time interaction and feedback. Overall, communication-driven DSS enhances the decision-making process by improving connectivity and collaboration among participants.
What is the difference between a model-driven and data-driven DSS?
A model-driven DSS relies on mathematical or statistical models to analyze data and make predictions, while a data-driven DSS uses historical and real-time data to generate insights and support decision-making without relying heavily on predefined models. Model-driven DSS are more structured and use algorithms to process data, while data-driven DSS focus on exploring patterns and trends in data to inform decisions.
How do state ELL proficiency tests such as the AZELLA guide data-driven decision making?
How do state ELL proficiency tests, such as the AZELLA, guide data-driven decision making? How do these test results impact lesson planning?
'Explain the concept need for and importance of a Decision Support System'?
Computerized decision support systems became practical with the development of minicomputers, timeshare operating systems and distributed computing. The history of the implementation of such systems begins in the mid-1960s. In a technology field as diverse as DSS, chronicling history is neither neat nor linear. Different people perceive the field of Decision Support Systems from various vantage points and report different accounts of what happened and what was important (cf., Arnott & Pervan, 2005; Eom & Lee, 1990b; McCosh & Correa-Perez, 2006; Power, 2003; Power, 2004a; Silver, 1991). As technology evolved new computerized decision support applications were developed and studied. Researchers used multiple frameworks to help build and understand these systems. Today one can organize the history of DSS into the five broad DSS categories explained in Power (2001; 2002; 2004b), including: communications-driven, data-driven, document driven, knowledge-driven and model-driven decision support systems. This hypertext document is a starting point in explaining the origins of the various technology threads that are converging to provide integrated support for managers working alone, in teams and in organization hierarchies to manage organizations and make more rational decisions. History is both a guide to future activity in this field and a record of the ideas and actions of those who have helped advance our thinking and practice. Historical facts can be sorted out and better understood, but more information gathering is necessary. This web page is a starting point in collecting more first hand accounts and in building a more complete mosaic of what was occurring in universities, software companies and in organizations to build and use DSS. This document traces decision support applications and research studies related to model and data-oriented systems, management expert systems, multidimensional data analysis, query and reporting tools, online analytical processing (OLAP), Business Intelligence, group DSS, conferencing and groupware, document management, spatial DSS and Executive Information Systems as the technologies emerge, converge and diverge. All of these technologies have been used to support decision making. A timeline of major historical milestones relevant to DSS is included in Appendix I. The study of decision support systems is an applied discipline that uses knowledge and especially theory from other disciplines. For this reason, many DSS research questions have been examined because they were of concern to people who were building and using specific DSS. Hence much of the broad DSS knowledge base provides generalizations and directions for building more effective DSS (cf., Baskerville & Myers, 2002; Keen, 1980). The next section describes the origins of the field of decision support systems. Section 3 discusses the decision support systems theory development that occurred in the late 1970s and early 1980s. Section 4 discusses important developments to communications-driven , data-driven, document driven, knowledge-driven and model-driven DSS (cf., Power, 2002). The final section briefly discusses how DSS practice, research and technology is continuing to
Which DoD decision support system is event driven and involves the process of periodic review and approval of programs to progress into subsequent acquisition life cycle phases?
Defense Acquisition Management SystemPlanning, Programming, Budgeting, and Execution
