Results 111 to 120 of about 9,682 (310)
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental sustainability in supply chains is no longer considered a compliance concern. It has become a strategic capability challenge, as firms seek to use Generative artificial intelligence (Gen‐AI) to improve decision quality, resource efficiency and responsible operations.
Anbesh Jamwal +3 more
wiley +1 more source
Fuzzy modelling with linguistic equations
, 2004 Abstract In this report, different types of fuzzy models have been developed from linguistic equations models. Different shapes of membership functions were compared: triangular and trapezoidal membership functions as well as their non-linear modifications were used. ANFIS (adaptive neuro-fuzzy inference system) method for Takagi-Sugeno type models was
Isokangas, A. (Ari), Juuso, E. (Esko)
openaire +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Global imperatives, such as climate change, environmental concerns, and carbon emissions, make green transformation an inevitability in the logistics sector. Green logistics strategy formulation is an economic choice problem, but it also turns out to be a multicriteria decision‐making (MCDM) process that encompasses the triple bottom line (TBL)
Ömer Faruk Görçün +2 more
wiley +1 more source
Fuzzy control and its application to a pH process [PDF]
In the chemical industry, the control of pH is a well-known problem that presents difficulties due to the large variations in its process dynamics and the static nonlinearity between pH and concentration. pH control requires the application of advanced
Huang, Kuo-En
core
Business Strategy and the Environment, EarlyView.ABSTRACT This study theorises and empirically tests performative purpose alignment theory (PPAT), which conceptualises corporate purpose as a performative artefact materialised through discursive and multimodal signals. To operationalise this, we introduced the SDG–Purpose Alignment Index (SPAI), a computational construct that quantifies the thematic ...
Augustine Okeke, Ifeanyi Ugbebor
wiley +1 more source
Fuzzy rules extraction using self-organising neural network and association rules [PDF]
, 2001 Fuzzy logic is becoming popular in dealing with data analysis problems that are normally handled by statistical approaches or ANNs. The major limitation is the difficulty in building the fuzzy rules from a given set of input-output data.
Wong, K.W. +3 more
core +1 more source
Towards an extension of the 2-tuple linguistic model to deal with unbalanced linguistic term sets [PDF]
, 2008 summary:In the domain of Computing with words (CW), fuzzy linguistic approaches are known to be relevant in many decision-making problems. Indeed, they allow us to model the human reasoning in replacing words, assessments, preferences, choices, wishes...
Herrera-Viedma, Enrique +4 more
core +1 more source
Journal of Statistical Theory and Applications (JSTA)Real-world decision-making scenarios in modern organizations often involve uncertainty and linguistic ambiguity, particularly when evaluations are expressed in subjective terms rather than precise numerical values. Employee satisfaction assessment is one
Ayesha Sultan +4 more
doaj +1 more source
IEEE AccessThe model of Aczel-Alsina t-norm and Aczel-Alsina t-conorm is very flexible because of the involvement of a free parameter, where the algebraic norms and Drastic norms are the special cases of the Aczel-Alsina norms.
Zeeshan Ali +3 more
doaj +1 more source
Complexity, 2018 The partitioned Bonferroni mean (PBM) operator can efficiently aggregate inputs, which are divided into parts based on their interrelationships. To date, it has not been used to aggregate linguistic Pythagorean fuzzy numbers (LPFNs).
Mingwei Lin +3 more
doaj +1 more source