Vai al contenuto principale della pagina

Fuzzy Sets in Business Management, Finance, and Economics



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: de Andres Sanchez Jorge Visualizza persona
Titolo: Fuzzy Sets in Business Management, Finance, and Economics Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 online resource (346 p.)
Soggetto topico: Mathematics & science
Research & information: general
Soggetto non controllato: adoption of environmental practices
assessment risk
audit risk assessment
audit team leader
bitcoin
blockchain
Bonferroni means
bonus-malus system
brand attachment
clustering techniques
convenience stores
correlation between fuzzy variables
corruption normalization
corruption perception
cryptocurrencies
Debreu-Farrell productivity index
decision making
decision-making
economic models
education level
efficiency
enhancement strategy
entrepreneurial intention
evaluation of specialists
experience
expert group
experton theory
extension principle
family entrepreneurial background
financial knowledge
fintech
forgotten effects theory
Forgotten Effects Theory
fsQCA
fuzzy arithmetic
fuzzy data analysis
fuzzy logic
Fuzzy Logic
fuzzy Markov chain
fuzzy number
fuzzy numbers
fuzzy quality function deployment
fuzzy set qualitative comparative analysis
fuzzy sets
fuzzy stationary state
fuzzy theory
fuzzy transition probability
gender
genetic algorithm
Hamming distance
Harrod's growth
household income
human resource costs
induced aggregation operators
information technology support
intention to use
intuitionistic fuzzy sets
knowledge systems
Latin America
linguistic variables
manufacturing process
mobility
neuro-fuzzy assessment
organizational learning capability
OWA operator
planification
poverty policy
prioritized aggregation operators
public financial resources
pythagorean membership
recovery plan
SDGs
selection of quality methods
size
small- and medium-sized audit firms
smart city
smart transport
STEM
sustainability
The Quintuple Helix of Innovation Model
tourist destination competitiveness
transparency
transparent selection
unified theory of acceptance and use of technology
university ranking
unsupervised pattern recognition
Persona (resp. second.): González-Vila PuchadesLaura
de Andres SanchezJorge
Sommario/riassunto: This book collects fifteen papers published in s Special Issue of Mathematics titled "Fuzzy Sets in Business Management, Finance, and Economics", which was published in 2021. These paper cover a wide range of different tools from Fuzzy Set Theory and applications in many areas of Business Management and other connected fields. Specifically, this book contains applications of such instruments as, among others, Fuzzy Set Qualitative Comparative Analysis, Neuro-Fuzzy Methods, the Forgotten Effects Algorithm, Expertons Theory, Fuzzy Markov Chains, Fuzzy Arithmetic, Decision Making with OWA Operators and Pythagorean Aggregation Operators, Fuzzy Pattern Recognition, and Intuitionistic Fuzzy Sets. The papers in this book tackle a wide variety of problems in areas such as strategic management, sustainable decisions by firms and public organisms, tourism management, accounting and auditing, macroeconomic modelling, the evaluation of public organizations and universities, and actuarial modelling. We hope that this book will be useful not only for business managers, public decision-makers, and researchers in the specific fields of business management, finance, and economics but also in the broader areas of soft mathematics in social sciences. Practitioners will find methods and ideas that could be fruitful in current management issues. Scholars will find novel developments that may inspire further applications in the social sciences.
Titolo autorizzato: Fuzzy Sets in Business Management, Finance, and Economics  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557612703321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui