scholarly journals OrclassWeb: A Tool Based on the Classification Methodology ORCLASS from Verbal Decision Analysis Framework

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Thais Cristina Sampaio Machado ◽  
Plácido Rogerio Pinheiro ◽  
Isabelle Tamanini

The decision making is present in every activity of the human world, either in simple day-by-day problems or in complex situations inside of an organization. Sometimes emotions and reasons become hard to separate; therefore decision support methods were created to help decision makers to make complex decisions, and Decision Support Systems (DSS) were created to aid the application of such methods. The paper presents the development of a new tool, which reproduces the procedure to apply the Verbal Decision Analysis (VDA) methodology ORCLASS. The tool, called OrclassWeb, is software that supports the process of the mentioned DSS method and the paper provides proof of concepts, that which presents its reliability with ORCLASS.

2020 ◽  
Vol 10 (13) ◽  
pp. 4614
Author(s):  
João Carneiro ◽  
Diogo Martinho ◽  
Patrícia Alves ◽  
Luís Conceição ◽  
Goreti Marreiros ◽  
...  

To support Group Decision-Making processes when participants are dispersed is a complex task. The biggest challenges are related to communication limitations that impede decision-makers to take advantage of the benefits associated with face-to-face Group Decision-Making processes. Several approaches that intend to aid dispersed groups attaining decisions have been applied to Group Decision Support Systems. However, strategies to support decision-makers in reasoning, understanding the reasons behind the different recommendations, and promoting the decision quality are very limited. In this work, we propose a Multiple Criteria Decision Analysis Framework that intends to overcome those limitations through a set of functionalities that can be used to support decision-makers attaining more informed, consistent, and satisfactory decisions. These functionalities are exposed through a microservice, which is part of a Consensus-Based Group Decision Support System and is used by autonomous software agents to support decision-makers according to their specific needs/interests. We concluded that the proposed framework greatly facilitates the definition of important procedures, allowing decision-makers to take advantage of deciding as a group and to understand the reasons behind the different recommendations and proposals.


2020 ◽  
Vol 26 (11) ◽  
pp. 631-640
Author(s):  
T. K. Kravchenko ◽  
◽  
S. N. Bruskin ◽  
D. V. Isaev ◽  
E. V. Kuznetsova ◽  
...  

The article focuses on the application of decision support systems for prioritization of product backlog items in IT projects implemented using the Scrum methodology. The study identified the features of prioritization of different types of the product backlog items — user stories, epics and themes. It is justified that high-level product backlog items (epics and themes) require comprehensive prioritization, due to the following reasons. First, high-level product backlog items are particularly important because they determine the planning and implementation of detailed user stories within individual sprints. Second, any high-level item can be considered in terms of different criteria. Third, the implementation of epics and themes takes longer time compared to the implementation of user stories, so it is necessary to take into account possible future states of the project's environment. Fourth, prioritizing epics and themes requires increased objectivity and validity, so group decision making with participation of several experts seems reasonable. Taking into consideration the aforementioned features the conclusion regarding limitations of existing methods of prioritization is made. It is argued that prioritization of high-level product backlog items (epics and themes) may be performed using multi-criteria decision making methods with availability of several problem situations (possible future states of the environment), as well as involvement of several experts. The idea of applying decision support methods and systems is illustrated on the appropriate example. It is also argued that increased consumption of time and resources related with setting and solving decision support tasks may be considered as acceptable for high-level product backlog items.


2014 ◽  
pp. 18-22
Author(s):  
Miki Sirola

Decision making is done in many application areas. Still most studies are done in such fields as economy and production planning. In methodologies used there exists more variation. This paper reviews the decision concepts discussed in the literature. Also some decision models by the author are commented. The field and practise in decision science is summarized. Although decision support systems are the final results of many projects, they are mostly based on the decision concepts behind the studies that deserve also more detailed examination. Decision analysis approach and knowledge-based technologies are examples of commonly used concepts.


1991 ◽  
Vol 67 (6) ◽  
pp. 622-628 ◽  
Author(s):  
Dan Bulger ◽  
Harold Hunt

The focus of a decision support system is much different from Management Information Systems (MIS) and data-based "decision support systems". Decision support systems, as defined by the authors, focus on decisions and decision makers, and on information. Technology is treated as a tool and data as the raw material. In many traditional systems the focus is on the technology, and the data is the "information", while decision makers are, to some extent, externalized.The purpose of the Forest Management Decision Support System (FMDSS) project is to develop a set of software tools for creating forest management decision support systems. This set of tools will be used to implement a prototype forest management decision support system for the Plonski forest, near Kirkland Lake, Ontario.There are three critical ingredients in building the FMDSS, these are: (1) knowledge of the decision making process, (2) knowledge of the forest, and (3) the functionality of underlying support technology. The growing maturity of the underlying technology provides a tremendous opportunity to develop decision support tools. However, a significant obstacle to building FMDSS has been the diffuse nature of knowledge about forest management decision making processes, and about the forest ecosystem itself. Often this knowledge is spread widely among foresters, technicians, policy makers, and scientists, or is in a form that is not easily amenable to the decision support process. This has created a heavy burden on the project team to gather and collate the knowledge so that it could be incorporated into the function and design of the system. It will be difficult to gauge the success of this exercise until users obtain the software and begin to experiment with its use.


2021 ◽  
Vol 93 ◽  
pp. 88-102
Author(s):  
A. A. Aparin ◽  

Introduction. The article is devoted to the study of the features of managerial decision-making in complex socio-economic systems in the context of fire and rescue units management. The article deals with the decomposition of the decision-making process into the main elements and provides a thematic analysis of each of them. The author's classification of decision-makers on the fire from among the main positions and non-regular officials of the garrison is presented. The tasks of the research are to analyze the current state of the basic conceptual apparatus of the theory of decision support in the management of fire protection units and to formulate the most general approach to the definition of the decision support process. Methods. The analysis of Russian- and English-language literary, normative and statistical sources of information on the topic under consideration is carried out. The result of the decomposition and synthesis of the analyzed information is tables, figures and diagrams, as well as explanations to them. The author also compares the approaches to decision-making from the Russian-language management theory with the results of empirical studies conducted abroad. Results and discussion. A theoretical review of the basic provisions of the theory of decision support with an appeal to the features inherent in the process of managing fire protection units is carried out. The author presents the results of a retrospective analysis of the development of approaches to the definition of the concepts of "decision support system" and "management support", as well as the definition of the term "support of decision making". Conclusions. Based on the results of the study, a hypothesis is formulated that at the stage of development of specialized decision support systems for decision makers, a synthesis between different approaches will remain. Keywords: decision support systems, management support, decision support, fire department management, complex socio-economic systems


Author(s):  
Ilya Ashikhmin ◽  
Eugenia Furems ◽  
Alexey Petrovsky ◽  
Michael Sternin

Verbal decision analysis (VDA) is a relatively new term introduced in Larichev and Moshkovich (1997) for a methodological approach to discrete multi-criteria decision making (MCDM) problems that was under elaboration by Russian researchers since the 1970s. Its main ideas, principles, and strength in comparison with other approaches to MCDM problems are summarized in Moshkovich, Mechitov, and Olson (2005) and in posthumous book (Larichev, 2006) as follows: problem description (alternatives, criteria, and alternatives’ estimates upon criteria) with natural language without any conversion to numerical form; usage of only those operations of eliciting information from a decision maker (DM) that deems to be psychologically reliable; control of DM’s judgments consistency, and traceability of results, that is, the intermediate and final results of a problem solution have to be explainable to DM. The main objective of this chapter is to provide an analysis of the methods and models of VDA for implementing them in intellectual decision support systems. We start with an overview of existing approaches to VDA methods and model representation. In the next three sections we present examples of implementing the methods and models of VDA for intellectual decision support systems designed for such problems solving as discrete multi-criteria choice, construction of expert knowledge base, and multi-criteria assignment problem. Finally, we analyze some perspective of VDA-based methods to implement them for intellectual decision support systems.


Author(s):  
Zhaohao Sun ◽  
Grant Meredith ◽  
Andrew Stranieri

This paper proposes TEA: a generic framework for decision making in web services, which integrates the environment (6 Ps) of decision making, the behaviors (6 Cs) of decision makers, and inner activities (another 6 Ps) of decision makers. This framework unifies what the decision makers can “eye” (the above-mentioned first 6Ps), should “think” (the above-mentioned another 6 Ps) and “act” (6 Cs), whenever making decisions in web services. The paper also examines interrelationships among the first 6 Ps, 6 Cs, and another 6Ps, and their influences on decision making in web services. The proposed approach will facilitate research and development of decision making and decision support systems in web services.


Author(s):  
Lawrence G. Shattuck ◽  
Christopher Talcott ◽  
Michael D. Matthews ◽  
Jennifer Clark ◽  
Matthew Swiergosz

Understanding the evolving, complex events on a battlefield requires a decision maker to gather and integrate data from disparate sources. The work described herein is the final in a series of studies that investigates the decision making processes employed by military decision makers. Twenty-one Army officers participated in a simulation of an offensive military operation. The results of this study are compared to the results of three previous studies involving participants with differing levels of expertise (experienced versus novice) and using different types of scenarios (defense versus offense). Results strongly suggest that performance of military decision makers varies based on levels of experience and the data they gather vary according to context. Implications for design of decision support systems are also discussed.


2017 ◽  
Vol 9 (2) ◽  
pp. 12
Author(s):  
Sundiya Eryfa Diana ◽  
M Hasan Wahyudi ◽  
M Ghofar Rohman

So far, the employee performance assessment at the office of sukodadi sud district in lamongan regency is conducted by the appraisal officer in coordination with the Head Office. Previously was done manual calculation without using a system. The calculation carried out in the form of determination of eligibility fulfillment of promotion of employee. Decision support systems can assist in determining assessments of employee work for the purpose of regular promotion by using a method. The existence method can be used in decision support systems such as Analytical Hierarchi Process (AHP). Systematic and appropriate in the decision-making process that is able to show the value of the competence of employees in accordance with the criteria established by the Office or decision makers based on systematic data analysis for the purpose of promotion of regular.


2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Mesran Mesran ◽  
Robbi Rahim

Stages of decision making done by the manager is a crucial stage. Given the resulting decisions affect the sustainability of the organization, then many managers use systems that can support the resulting decisions. This system is known as the decision support system, which applies to solving a problem, using methods such as ELECTRE, Promethee, SAW, TOPSIS. Using decision support systems makes it easy for decision-makers to add new data, change data and make decisions more efficiently. In this article, the method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).


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