001439817 000__ 05749cam\a2200673\i\4500 001439817 001__ 1439817 001439817 003__ OCoLC 001439817 005__ 20230309004523.0 001439817 006__ m\\\\\o\\d\\\\\\\\ 001439817 007__ cr\un\nnnunnun 001439817 008__ 210923s2021\\\\sz\a\\\\o\\\\\101\0\eng\d 001439817 020__ $$a9783030855291$$q(electronic bk.) 001439817 020__ $$a3030855295$$q(electronic bk.) 001439817 020__ $$z9783030855284 001439817 020__ $$z3030855287 001439817 0247_ $$a10.1007/978-3-030-85529-1$$2doi 001439817 035__ $$aSP(OCoLC)1268983409 001439817 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001439817 049__ $$aISEA 001439817 050_4 $$aQ334.M43$$bM43 2021 001439817 08204 $$a006.3$$223 001439817 1112_ $$aMDAI (Conference)$$n(18th :$$d2021 :$$cOnline) 001439817 24510 $$aModeling decisions for artificial intelligence :$$b18th international conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021 : proceedings /$$cVicenç Torra, Yasuo Narukawa (eds.). 001439817 24630 $$aMDAI 2021 001439817 264_1 $$aCham :$$bSpringer,$$c[2021] 001439817 264_4 $$c©2021 001439817 300__ $$a1 online resource :$$billustrations (some color) 001439817 336__ $$atext$$btxt$$2rdacontent 001439817 337__ $$acomputer$$bc$$2rdamedia 001439817 338__ $$aonline resource$$bcr$$2rdacarrier 001439817 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v12898 001439817 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence 001439817 500__ $$aInternational conference proceedings. 001439817 500__ $$aIncludes author index. 001439817 5050_ $$aInvited Papers -- Andness-Directed Iterative OWA Aggregators -- New Eliahou semigroups and verification of the Wilf conjecture for genus up to 65 -- Are Sequential Patterns Shareable? Ensuring Individuals' Privacy -- Aggregation Operators and Decision Making -- On Two Generalizations for k-additivity -- Sequential decision-making using hybrid probability-possibility functions -- Numerical comparison of idempotent andness-directed aggregators -- Approximate Reasoning -- Multiple testing of conditional independence hypotheses using information-theoretic approach -- A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty -- How the F-transform can be defined for hesitant, soft or intuitionistic fuzzy sets? Enhancing social recommenders with implicit preferences and fuzzy confidence functions -- A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems -- Machine Learning -- Mass-based Similarity Weighted k-Neighbor for Class Imbalance -- Multinomial-based Decision Synthesis of ML Classification Outputs -- Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems -- Evidential undersampling approach for imbalanced datasets with class-overlapping and noise -- Well-Calibrated and Sharp Interpretable Multi-Class Models -- Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering -- q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data -- Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning -- Network Clustering with Controlled Node Size -- Data Science and Data Privacy -- Fair-ly Private Through Group Tagging and Relation Impact -- MEDICI: A simple to use synthetic social network data generator -- Answer Passage Ranking Enhancement Using Shallow Linguistic Features -- Neural embedded Dirichlet Processes for topic modeling -- Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts -- Explaining Image Misclassification in Deep Learning via Adversarial Examples.-Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control -- 001439817 506__ $$aAccess limited to authorized users. 001439817 520__ $$aThis book constitutes the refereed proceedings of the 18th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2021, held in Umeå, Sweden, in September 2021.* The 24 papers presented in this volume were carefully reviewed and selected from 50 submissions. Additionally, 3 invited papers were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: aggregation operators and decision making; approximate reasoning; machine learning; data science and data privacy. *The conference was held virtually due to the COVID-19 pandemic. 001439817 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 24, 2021). 001439817 650_0 $$aArtificial intelligence$$xMathematical models$$vCongresses. 001439817 650_0 $$aDecision making$$xMathematical models$$vCongresses. 001439817 650_0 $$aComputer simulation$$vCongresses. 001439817 650_6 $$aIntelligence artificielle$$xModèles mathématiques$$vCongrès. 001439817 650_6 $$aPrise de décision$$xModèles mathématiques$$vCongrès. 001439817 650_6 $$aSimulation par ordinateur$$vCongrès. 001439817 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001439817 655_7 $$aConference papers and proceedings.$$2lcgft 001439817 655_7 $$aActes de congrès.$$2rvmgf 001439817 655_0 $$aElectronic books. 001439817 7001_ $$aTorra, Vicenç,$$eeditor. 001439817 7001_ $$aNarukawa, Yasuo,$$eeditor. 001439817 830_0 $$aLecture notes in computer science ;$$v12898. 001439817 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001439817 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001439817 852__ $$bebk 001439817 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-85529-1$$zOnline Access$$91397441.1 001439817 909CO $$ooai:library.usi.edu:1439817$$pGLOBAL_SET 001439817 980__ $$aBIB 001439817 980__ $$aEBOOK 001439817 982__ $$aEbook 001439817 983__ $$aOnline 001439817 994__ $$a92$$bISE