Marketing decisions in small businesses: how verbal decision analysis can help

Gomes, Luiz Flávio Autran Monteiro; Moshkovich, Helen M.; Torres, Adriano

doi:10.1504/ijmdm.2010.033641

Cited by 30 publications

(21 citation statements)

References 17 publications

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“…Decision making based on various criteria is supported by multi-criteria methodologies [2]. The multi-criteria methodologies support the decision-making process involving the analysis of objects from different points of view.…”

Section: Verbal Decision Analysismentioning

confidence: 99%

Task Allocation in Distributed Software Development Aided by Verbal Decision Analysis

Filho

Pinheiro

Albuquerque

2016

Advances in Intelligent Systems and Computing

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One of the most critical activities in distributed project management is the allocation of tasks among remote teams. In distributed software development projects, to allocate a task for a team in any of the locations, the project manager needs consider several factors such as team maturity and time zone difference among the sites. Deciding which task to allocate for each team constitutes a decision-making task. This decision is usually made subjectively. The verbal decision analysis is an approach based on solving problems through multi-criteria qualitative analysis, which means it considers the analysis of subjective criteria. This paper describes the application of a verbal decision analysis methodology called ORCLASS to classify the most relevant factors that the project managers should take into account when allocating tasks in distributed software development projects.

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Section: Verbal Decision Analysismentioning

confidence: 99%

Task Allocation in Distributed Software Development Aided by Verbal Decision Analysis

Filho

Pinheiro

Albuquerque

2016

Advances in Intelligent Systems and Computing

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show abstract

“…According to [23] in the majority of multi-criteria problems, exists a set of alternatives, which can be evaluated against the same set of characteristics (called criteria or attributes). These multi-criteria (or multi-attribute) descriptions of alternatives will be used to define the necessary solution.…”

Section: Verbal Decision Analysismentioning

confidence: 99%

“…As defined in [23], take an example if it is presented for the decision maker to judge the possibly alternative composed by the criterion values[A1,B1,C3]. In this case, if the decision maker chooses the alternative for the first group, then the better alternative ([A1, B1, C2]) naturally belongs to the first group too, since it is better than the previous.…”

Section: Explaining the Combination Of Criterion Valuesmentioning

confidence: 99%

Towards the Selection of Prototypes for Educational Tools: A Hybrid Model in the Verbal Decision Analysis

Machado¹,

Pinheiro²,

Tamanini³

2012

IJIS

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Aiming to attend the growing demand for professionals with knowledge about software processes, this paper presents ideas for creating educational tools that supports its teaching. The paper defines six options of educational tools prototypes and illustrates the research of preferences elicitation in the application of a hybrid method using ORCLASS and PACOM Decision Support Systems (DSS) from Verbal Decision Analysis (VDA) framework to classify and rank the prototypes according to the decision maker preferences. The application with prototypes was chosen because the software engineering is an area that allows a wide research in the preferences elicitation process. The research results show that, the adoption of qualitative methods of decision support can benefit significantly the selection of the interface aiming to use the selected interface from the approved group and ranked for future development of real educational tools applications.

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“…The method can be used to obtain a definite decision rule, considering a set of criteria and their values, so that any alternative represented by these can be classified. An application of the method can be found in Gomes et al (2010). The method is used to aid in the decision-making concerning the choice of advertising media alternatives for the strategic marketing plan of a small Brazilian company.…”

Section: Introductionmentioning

confidence: 99%

Reducing incomparability in multicriteria decision analysis: an extension of the ZAPROS method

Tamanini

2011

Pesqui. Oper.

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ABSTRACT. The ZAPROS method belongs to the Verbal Decision Analysis framework, and it aims at solving decision-making problems in a more realistic way from the decision maker's point of view. Quantitative methods can lead to loss of information when attempting to assign accurate measurements to verbal values. However, the feature exposed can cause a decrease in the comparison power of the method, making the incomparability cases between the alternatives unavoidable and leading to an unsatisfactory result of the problem, thus leading to an unsatisfactory outcome of the problem. Considering the limitation exposed, this work presents a methodological approach structured on the ZAPROS method to assist in decisionmaking in the Verbal Decision Analysis. The aim is to produce a complete result which is satisfactory to the decision maker, through the reduction of the cases of incomparability between alternatives. The modifications were mainly applied to the comparison of alternatives process and did not change the computational complexity of the method.

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Marketing decisions in small businesses: how verbal decision analysis can help

Cited by 30 publications

References 17 publications

Task Allocation in Distributed Software Development Aided by Verbal Decision Analysis

Task Allocation in Distributed Software Development Aided by Verbal Decision Analysis

Towards the Selection of Prototypes for Educational Tools: A Hybrid Model in the Verbal Decision Analysis

Reducing incomparability in multicriteria decision analysis: an extension of the ZAPROS method

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