Group decision making in a multiple criteria environment: A case using the AHP in software selection

Lai, Vincent S.; Wong, Bo K.; Cheung, Waiman

doi:10.1016/s0377-2217(01)00084-4

Cited by 324 publications

(164 citation statements)

References 18 publications

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“…For example, one approach to solve such multi-criteria problems is to prioritize between the objectives in order to resolve inconsistencies, and then solve the resulting problem algorithmically [10]. Another widely used approach is to apply the analytic hierarchy process (AHP) to decompose the problem into sub-problems and re-solve differences between stakeholders [11], [12]. The kind of analysis most closely related to ours is Pareto analysis, i.e.…”

Section: Related Workmentioning

confidence: 99%

“…Suppose that we trade one unit of x i for r i,j units of x j , and then trade the resulting r i,j units of x j back in to x i again: this circular trade must be on an indifference curve, so u(x i ) = u(x i r i,j r j,i ), as is of the course the case for all rates in (11).…”

Section: The Linear Casementioning

confidence: 99%

“…By a symmetric argument, the rates of substitution between any pair among the next m properties will be the quotients of (11).…”

Section: The Case Of Several Modelsmentioning

confidence: 99%

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Characterization of trade-off preferences between non-functional properties

Franke

Ciccozzi

2018

Information Systems

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Efficient design and evolution of complex software intensive systems rely on the ability to make informed decisions as early as possible in the life cycle.Such informed decisions should take both the intended functional and nonfunctional properties into account. Especially regarding the latter, it is both necessary to be able to predict properties and to prioritize them according to well-defined criteria. In this paper we focus on the latter problem, that is to say how to make trade-offs between non-functional properties of software intensive systems. We provide an approach based on the elicitation of utility functions from stake-holders and subsequent checks for consistency among these functions. The approach is exploitable through an easy-to-use GUI, which is also presented. Moreover, we describe the setup and the outcome of our two-fold validation based on exploratory elicitations with students and practitioners.

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Section: Related Workmentioning

confidence: 99%

Section: The Linear Casementioning

confidence: 99%

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Characterization of trade-off preferences between non-functional properties

Franke

Ciccozzi

2018

Information Systems

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“…In the literature, AHP method has been applied to different fields such as strategic planning (Arbel and Orger, 1990), evaluation of advanced construction technology (Skibniewski and Chao, 1992), warehouse site selection (Korpela and Tuominen, 1996), strategic investment analysis (Angels and Lee, 1996), facility location selection (Yang and Lee, 1997), project management (Al Harbi, 2001), software selection (Lai et al, 2002;Karaarslan and Gundogar, 2009), managing risk in supplay chain (Gaudenzi and Borghesi, 2006), selection process for a project variant (Cabała, 2010), supplier selection (Bruno et al, 2012), inventory classification (Lolli et al, 2014), energy management (Jovanovic´ et al, 2015), identifying the factors affecting on labor productivity of construction projects (Sherekar and Tatikonda, 2016), risk evaualtion (Zeng and Xu, 2017), assessing renewable energy sources (Nasirov et al, 2017). In addition, AHP method has been also used in the literature to determine the weights of the criteria in MCDM problems.…”

Section: Analytic Hierarch Processmentioning

confidence: 99%

An Integrated Multi-Criteria Decision Making Approach for Tablet Computer Selection

Kundakcı¹

2017

Europ. j. multidiscip. stud.

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Today, educational institutions follow modern technology and use technological products such as smart board and tablet computer widely as education tools owing to the rapidly developing technology. The lessons supported by these technologies, make learning more effective by influencing student motivation positively. In that scope, the discussed developing technology and its innovative tools will help to improve the quality of education in the long term and contribute to the development of the different skills of the students. In this study, tablet computer selection problem of a high school located in Denizli, Turkey will be analyzed deeply. That determined high school decided to use tablet computers in the lessons as an education tool and the school management aimed to select the most suitable tablet computer to give their students. In this context, tablet computer alternatives have been assessed by an integrated approach based on the combined use of two MCDM (Multi Criteria Decision Making) methods; AHP (Analytic Hierarchy Process) and OCRA (Operational Competitiveness RAting). The weights of the criteria were determined with AHP method, then OCRA method was used to rank tablet computer alternatives. The school management has been guided in the selection process of the most suitable tablet computer for their students. They found the search results satisfactory and decided to buy the selected tablet computer by the integrated MCDM method proposed in this study.

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“…Most of them are centred on the concept of hesitant fuzzy sets ( [9,21,23,25]) and the aggregation of this kind of sets ( [2,26,27]). Other authors have proposed using fuzzy preference relations ( [14,17,22]), Atanassov's intuitionistic interval fuzzy information ( [24]), trapezoidal valued hesitant fuzzy sets ( [20]) or hesitant fuzzy linguistic terms ( [15]). In all these proposals, several experts are asked for their preference on a set of alternatives considering several criteria.…”

Section: Introductionmentioning

confidence: 99%

Applications of finite interval-valued hesitant fuzzy preference relations in group decision making

Pérez‐Fernández

Alonso

Bustince

et al. 2016

Information Sciences

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The main purpose of this paper is to present the twofold group decision making problem, which is a new point of view of the group decision making problem where several experts and criteria can be considered at the same time. This problem is based on the study of nitely generated sets and nite interval-valued hesitant fuzzy preference relations. Furthermore, the Extended Weighted Voting Method, which is used in the exploitation phase of a classical group decision making problem, is generalized to the twofold case.

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Group decision making in a multiple criteria environment: A case using the AHP in software selection

Cited by 324 publications

References 18 publications

Characterization of trade-off preferences between non-functional properties

Characterization of trade-off preferences between non-functional properties

An Integrated Multi-Criteria Decision Making Approach for Tablet Computer Selection

Applications of finite interval-valued hesitant fuzzy preference relations in group decision making

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