Group decision making with expertons and uncertain generalized probabilistic weighted aggregation operators

Merigó, José M.; Ramón, Montserrat Casanovas; Yang, Jian-Bo

doi:10.1016/j.ejor.2013.10.011

Cited by 82 publications

(54 citation statements)

References 39 publications

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“…Other examples include uncertain aggregation operators (Merigó et al, 2014), such as the uncertain generalized weighted average (UGWA) operator, the probabilistic weighted average (PWA) operator, and the uncertain generalized probabilistic weighted average (UGPWA), among others. The main focus for future research should be the highly changing environment of the information regarding innovation management; however, the inclusion of the latest approaches in decision-making under uncertainty can shed some light on the way we treat and understand the complexity of innovation.…”

Section: Discussionmentioning

confidence: 99%

A fuzzy methodology for innovation management measurement

Alfaro‐García

Gil‐Lafuente

Calderón

2017

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Purpose -Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach applying fuzzy techniques to small and medium manufacturing enterprises.Design/methodology/approach -This study presents a survey focusing on seven innovation measurement areas: innovation strategy, knowledge management, project management, portfolio management, internal enablers, organization and structure and external enablers. A total of 91 small and medium enterprises (SMEs) located in the city of Morelia, Mexico, participated in the study. Furthermore, the data collected were analyzed under a multi-criteria decision-making approach using the theory of expertons and the induced generalized ordered weighted averaging (IGOWA) operator. Findings -The results show that the most valued areas are innovation strategy, organization and structure, knowledge management and project management.Furthermore, portfolio management, external drivers and internal drivers are the areas with the lowest valuations.Originality/value -This paper presents an original methodological structure based on an expertise process designed to achieve well-founded results from uncertain and subjective opinions directly from the managers of the surveyed SMEs.

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Section: Discussionmentioning

confidence: 99%

A fuzzy methodology for innovation management measurement

Alfaro‐García

Gil‐Lafuente

Calderón

2017

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“…It has been applied in neural networks, 35,36 data base systems, 36 and fuzzy logic controllers 37,38 . Besides, it has proved to be the one of the most prominent aggregation operators in decision making, 39,40 group decision making, 1,41 and MCDM approaches under uncertainty 16,42,43 .…”

Section: Owamentioning

confidence: 99%

A New Family of Induced OWA Operators

Aggarwal

2014

Int. J. Intell. Syst.

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A new family of induced ordered weighted averaging (OWA) operators is proposed by invoking the order-inducing variables at the aggregation step. The objective is to consider the variations in the magnitudes of the order-inducing variables. The new family of operators include weighted induced OWA, weighted generalized induced OWA, and weighted induced ordered weighted geometric operators. These are further extended to the intuitionistic fuzzy domain. The usefulness of these operators is shown in a supplier selection problem. C 2014 Wiley Periodicals, Inc.

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“…However, in such situations, interval values 15,22,31 are suitable for experts to provide their assessments due to their useful and simple technique for representing uncertainty. Thus, interval values are utilized as the information domain for quantitative contexts in our proposal.…”

Section: ) Information Domain For Quantitative Contextsmentioning

confidence: 99%

A dynamic multi-attribute group emergency decision making method considering experts’ hesitation

Wang¹,

Rodríguez²,

Wang³

2018

IJCIS

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Multi-attribute group emergency decision making (MAGEDM) has become a valuable research topic in the last few years due to its effectiveness and reliability in dealing with real-world emergency events (EEs). Dynamic evolution and uncertain information are remarkable features of EEs. The former means that information related to EEs is usually changing with time and the development of EEs. To make an effective and appropriate decision, such an important feature should be addressed during the emergency decision process; however, it has not yet been discussed in current MAGEDM problems. Uncertain information is a distinct feature of EEs, particularly in their early stage; hence, experts involved in a MAGEDM problem might hesitate when they provide their assessments on different alternatives concerning different criteria. Their hesitancy is a practical and inevitable issue, which plays an important role in dealing with EEs successfully, and should be also considered in real world MAGEDM problems. Nevertheless, it has been neglected in existing MAGEDM approaches. To manage such limitations, this study intends to propose a novel MAGEDM method that deals with not only the dynamic evolution of MAGEDM problems, but also takes into account uncertain information, including experts' hesitation. A case study is provided and comparisons with current approaches and related discussions are presented to illustrate the feasibility and validity of the proposed method.

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Group decision making with expertons and uncertain generalized probabilistic weighted aggregation operators

Cited by 82 publications

References 39 publications

A fuzzy methodology for innovation management measurement

A fuzzy methodology for innovation management measurement

A New Family of Induced OWA Operators

A dynamic multi-attribute group emergency decision making method considering experts’ hesitation

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