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A Piecewise Type-2 Fuzzy Regression Model
International Journal of Computational Intelligence Systems, 2017 The type-2 fuzzy logic system permits us to model uncertainties existing in membership functions. Accordingly, this study aims to propose a linear and a piecewise framework for an interval type-2 fuzzy regression model based on the existing possibilistic
Narges Shafaei Bajestani +2 more
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Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools [PDF]
International Journal of Computational Intelligence Systems, 2011 In the knowledge economy, a key source of sustainable competitive advantage relies on the way to create, share, and utilize knowledge. Knowledge Management (KM) tools assumed an important role in supporting KM activities.
Gülçin Büyüközkan +2 more
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Evaluating e-commerce trust using fuzzy logic [article] [PDF]
, 2007 Trust is widely recognized as an essential factor for the continual development of business to customer electronic commerce (B2C EC). Many trust models have been developed, however, most are subjective and do not take into account the vagueness and ...
Meziane, F, Nefti-Meziani, S
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Harmonizing Social Impact Assessment in the Bioeconomy: A Cross‐Regional Fuzzy‐Delphi Approach
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT The bioeconomy transition risks underrepresenting social sustainability, while existing Social Life Cycle Assessment (S‐LCA) applications remain insufficient for comparison and decision support due to heterogeneous and non‐standardized selection of social impact categories. This study proposes a cross‐regional baseline set of impact categories
Julia Lessa Feitosa Virgolino +2 more
wiley +1 more source
Neutrosophic Logic Approach for Evaluating Learning Management Systems [PDF]
Neutrosophic Sets and Systems, 2016 Uncertainty in expert systems is essential research point in artificial intelligence domain. Uncertain knowledge representation and analysis in expert systems is one of the challenges that takes researchers concern as different uncertainty types which ...
Nouran Radwan +2 more
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Mathematical Principles of Fuzzy Logic
, 1999 Mathematical Principles of Fuzzy Logic provides a systematic study of the formal theory of fuzzy logic. The book is based on logical formalism demonstrating that fuzzy logic is a well-developed logical theory. It includes the theory of functional systems
Močkoř, Jiří 1950- +5 more
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, 2020 This paper proposes a detailed switching model for the medium voltage cascaded H bridge multi level inverter drive and induction motor system using fuzzy logic controller which is suitable for power system dynamic studies.
M. Bhuvaneswari +2 more
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Making Sense of the Bioeconomy: A Critical Analysis of EU Policy Narratives and Responses
Environmental Policy and Governance, EarlyView.ABSTRACT The bioeconomy has become an increasingly popular concept in European Union (EU) policy, promising sustainable growth, job creation, and reduced environmental impacts. Yet its meaning remains contested, ambiguous, and politically charged. This study critically examines how EU bioeconomy policy narratives prior to 2025 construct this concept ...
Elena Zepharovich +4 more
wiley +1 more source
Knowledge and Process Management, EarlyView.ABSTRACT Enterprise Resource Planning (ERP) systems are integrated business management tools used by organizations to manage data and processes across various functions. While financial and technical considerations remain central to ERP selection, sustainable success also depends on the system's ability to support Knowledge Management (KM).
Deniz Sadat Sebti Esmail Pour +1 more
wiley +1 more source
Fuzzy modelling of powder snow avalanches [PDF]
, 2004 This paper examines powder snow avalanches by introducing a predetermined degree of variation, or fuzziness, in model parameters. Given a value of vagueness in the parameters, fuzzy set theory makes it possible to evaluate the vagueness in the results ...
Barpi, Fabrizio
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