scholarly journals VERBAL DECISION MAKING ANALYSIS

2004 ◽  
Vol 10 (1) ◽  
pp. 32-39
Author(s):  
Dmitry Kochin ◽  
Leonas Ustinovičius
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Decision Maker ◽  
Mathematical Proof ◽  
Preference Elicitation ◽  
Qualitative Approach ◽  
Analysis Methods ◽  
Verbal Decision Analysis ◽  
Quantitative Approaches

The paper presents the ideology of a qualitative approach to decision making ‐ verbal decision analysis. The authors have analyzed existing quantitative approaches and pointed out their main disadvantages. They formulated the requirements for decision‐making methods taking into account these disadvantages: psychological correctness of a dialog with decision maker (DM), strict mathematical proof of the methods and checking of DM information for consistency. The authors present the results of research on psychological correctness of operations of preference elicitation from DM. Several existing verbal decision analysis methods are briefly mentioned.

ARACE – A New Method for Verbal Decision Analysis

2015 ◽  
Vol 14 (01) ◽  
pp. 115-140 ◽  
Author(s):  
Denis P. Oleynikov ◽  
Lyudmila N. Butenko ◽  
Helen M. Moshkovich ◽  
Alexander I. Mechitov
Keyword(s):  
Decision Analysis ◽  
Decision Maker ◽  
Decision Rules ◽  
Preference Elicitation ◽  
New Method ◽  
Flexible Approach ◽  
Verbal Form ◽  
Preference System ◽  
Verbal Decision Analysis

ARACE is a new method developed within the framework of Verbal Decision Analysis (VDA). VDA methods work with verbal form of preference elicitation and evaluation of alternatives without resorting to numbers. ARACE is based on the ideas of the VDA method ZAPROS but uses a more flexible approach to inconsistency of the decision-maker's preferences by introducing a special construct of a "quasi-expert." Mismatched preferences of the decision-maker are viewed as preferences of several quasi-experts. The preference system for each quasi-expert is transitive, leading to consistent decision rules formed for each quasi-expert separately. These rules are used to compare alternatives. Differences in possible comparison of alternatives based on different quasi-experts are resolved through a Clustered Rankings Method for rankings with ties.

scholarly journals Selection and Prioritization of Software Requirements Applying Verbal Decision Analysis

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-20
Author(s):  
Paulo A. M. Barbosa ◽  
Plácido R. Pinheiro ◽  
Francisca R. V. Silveira ◽  
Marum Simão Filho
Keyword(s):  
Software Development ◽  
Decision Analysis ◽  
Decision Maker ◽  
Development Process ◽  
Software Requirements ◽  
Software Development Process ◽  
Next Release Problem ◽  
Support Tools ◽  
Verbal Decision Analysis ◽  
The Cost

During the software development process, the decision maker (DM) must master many variables inherent in this process. Software releases represent the order in which a set of requirements is implemented and delivered to the customer. Structuring and enumerating a set of releases with prioritized requirements represents a challenging task because the requirements contain their characteristics, such as technical precedence, the cost required for implementation, the importance that one or more customers add to the requirement, among other factors. To facilitate this work of selection and prioritization of releases, the decision maker may adopt some support tools. One field of study already known to solve this type of problem is the Search-Based Software Engineering (SBSE) that uses metaheuristics as a means to find reasonable solutions taking into account a set of well-defined objectives and constraints. In this paper, we seek to increase the possibilities of solving the Next Release Problem using the methods available in Verbal Decision Analysis (VDA). We generate a problem and submit it so that the VDA and SBSE methods try to resolve it. To validate this research, we compared the results obtained through VDA and compared with the SBSE results. We present and discuss the results in the respective sections.

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
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Decision Makers ◽  
Analysis Framework ◽  
Verbal Decision Analysis ◽  
Human World ◽  
Support Methods ◽  
Day By Day

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.

ANSWER SET PROGRAMMING AND COMBINATORIAL MULTICRITERIA DECISION MAKING

2006 ◽  
Vol 14 (04) ◽  
pp. 393-420 ◽  
Author(s):  
RAFAL GRABOŚ
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Logic Program ◽  
Multicriteria Analysis ◽  
Multicriteria Decision Making ◽  
Qualitative Approach ◽  
Combinatorial Structure ◽  
Optimal Decision ◽  
Multicriteria Decision ◽  
Answer Set

The majority of approaches to multicriteria optimization are based on quantitative representations of preferences of a decision maker, in which numerical procedures of multicriteria analysis are used for aggregation purposes. However, very often qualitative data cannot be known in terms of absolute values so that a qualitative approach is needed. Moreover, the multicriteria methods are directly applicable when alternatives are individuals-then they may be explicitly listed and ordered by an agent. However, sometimes the set of alternatives has combinatorial structure and it must be selected from the set of Cartesian products of value domains of attributes satisfying certain constraints. Then, the space of possible alternatives has a size exponential in the number of variables and ranking all alternatives explicitly is a complex and tedious task. In this paper we propose logic programming with ordered disjunction as a qualitative approach to combinatorial multicriteria decision making, allowing a concise representation of the preference structures, and a human-like form of expressions, being close to natural language, hence providing a good readability and simplicity. A combinatorial multicriteria decision making problem is encoded as a logic program, in which preferences of the decision maker are represented qualitatively. The optimal decision corresponds exactly to the preferred answer set of the program, obtained via the well-known methods of multicriteria analysis.

scholarly journals Towards the Verbal Decision Analysis Paradigm for Prioritization of Software Requirements Implementable

2018 ◽  
Author(s):  
Paulo Alberto Melo Barbosa ◽  
Plácido Rogério Pinheiro ◽  
Francisca Raquel de Vasconcelos Silveira
Keyword(s):  
Software Engineering ◽  
Qualitative Methods ◽  
Decision Analysis ◽  
Decision Maker ◽  
Quantitative Methods ◽  
Software Requirements ◽  
Search Based Software Engineering ◽  
Verbal Decision Analysis ◽  
Quantitative And Qualitative Methods ◽  
Positive Factor

The activity of prioritizing software requirements should be done as efficiently as possible. Selecting the most stable requirements for the most important customers for the development company can be a positive factor when we consider that the available resource does not always encompass the implementation of all requirements. Quantitative methods for reaching software prioritization in releases are many in the field of Search-Based Software Engineering (SBSE). However, we show that it is possible to use qualitative Verbal Decision Analysis (VDA) methods to solve this same type of problem. Moreover, we will use the ZAPROS III-i methods to prioritize requirements considering the opinion of the decision-maker, who will participate in this process. Finally, the results obtained in the VDA structured methods were quite satisfactory when compared to the methods using SBSE. A comparison of results between quantitative and qualitative methods will be made and discussed later.

scholarly journals IDENTIFICATION OF BUILDING REPAIR POLICY CHOICE CRITERIA ROLE

2009 ◽  
Vol 15 (2) ◽  
pp. 213-228 ◽  
Author(s):  
Mirosław Dytczak ◽  
Grzegorz Ginda
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Needs Assessment ◽  
Decision Maker ◽  
Economic Resources ◽  
Policy Choice ◽  
Surrounding Environment ◽  
Special Means ◽  
Complex Influence

Preparation of building repair activities in multi‐family dwelling houses poses an important problem for habitat co‐operatives in Poland. Firstly, such co‐operatives own and manage a lot of buildings. Secondly, scarcity of economic and non‐economic resources requires their effective allocation. Such allocation should be based on properly prioritised actions’ alternatives. Unfortunately, due to the complex influence of the surrounding environment, the influence of a considerable number of components and diverse point of views is to be included during the analysis of repair needs. Potential influences result from a bunch of sources. The sources are of economic, technological, social and environmental nature. To support a decision‐maker effectively, information pertaining to the importance of particular influences is required. Such information can be obtained by special means of multi‐criteria decision analysis (MCDA) methodology. The application of the chosen approach – Decision Making Trial and Evaluation Laboratory (DEMATEL) for classification of repair needs assessment criteria to shape repair policy appropriately is presented in this paper. Santrauka Pasirengimas remontuoti daugiabučius gyvenamuosius namus sukelia daug problemų tokių namų kooperatyvams Lenkijoje. Pirma, tokie kooperatyvai turi ir valdo daug pastatų. Antra, dėl nepakankamų ekonominių ir neekonominių išteklių reikia juos efektyviai paskirstyti. Toks paskirstymas turi būti pagrįstas išnagrinėjus alternatyvas ir nustačius prioritetines. Deja, remonto poreikio analizę veikia sudėtinga aplinka. Tam įtaką daro daug komponentų, reikia suderinti įvairius požiūrius. Potenciali įtaka kyla iš šaltinių gausos. Yra ekonominiai, technologiniai, socialiniai ir gamtinės aplinkos šaltiniai. Efektyviam sprendimui priimti reikia turėti informacijos apie įtakos svarbą. Tokiai informacijai gauti gali būti pritaikyta speciali daugiakriterinės sprendimų analizės metodologija. Straipsnyje pristatomas metodas, kuriuo vertinami remonto poreikio kriterijai ir padedama suformuluoti remonto politiką.

scholarly journals Towards the Verbal Decision Analysis Paradigm for Implementable Prioritization of Software Requirements

Algorithms ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 176 ◽  
Author(s):  
Paulo Barbosa ◽  
Plácido Pinheiro ◽  
Francisca de Vasconcelos Silveira
Keyword(s):  
Software Engineering ◽  
Qualitative Methods ◽  
Decision Analysis ◽  
Decision Maker ◽  
Quantitative Methods ◽  
Performance Metrics ◽  
Software Requirements ◽  
Verbal Decision Analysis ◽  
Quantitative And Qualitative Methods ◽  
Positive Factor

The activity of prioritizing software requirements should be done as efficiently as possible. Selecting the most stable requirements for the most important customers of a development company can be a positive factor considering that available resources do not always encompass the implementation of all requirements. There are many quantitative methods for prioritization of software releases in the field of search-based software engineering (SBSE). However, we show that it is possible to use qualitative verbal decision analysis (VDA) methods to solve this type of problem. Moreover, we will use the ZAPROS III-i method to prioritize requirements considering the opinion of the decision-maker, who will participate in this process. Results obtained using VDA structured methods were found to be quite satisfactory when compared to methods using SBSE. A comparison of results between quantitative and qualitative methods will be made and discussed later. The results were reviewed and corroborated with the use of performance metrics.

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