國立虎尾科技大學 |

Modeling Decisions for Artificial Intelligence = 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling Decisions for Artificial Intelligence/ edited by Vicenç Torra, Yasuo Narukawa.
其他題名:	18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings /
其他作者:	Narukawa, Yasuo.
面頁冊數:	XIII, 347 p. 112 illus., 63 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Applications. -
電子資源:	https://doi.org/10.1007/978-3-030-85529-1
ISBN:	9783030855291

Modeling Decisions for Artificial Intelligence = 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings /
Modeling Decisions for Artificial Intelligence18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings /[electronic resource] :edited by Vicenç Torra, Yasuo Narukawa. - 1st ed. 2021. - XIII, 347 p. 112 illus., 63 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;12898. - Lecture Notes in Artificial Intelligence ;9285.

Invited 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 -- .

This 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.

ISBN: 9783030855291

Standard No.: 10.1007/978-3-030-85529-1doiSubjects--Topical Terms:

669785
Computer Applications.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Modeling Decisions for Artificial Intelligence = 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings /
LDR:04463nam a22004095i 4500 001 1049049
003 DE-He213
005 20210814003137.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030855291 $9 978-3-030-85529-1
024 7 $a 10.1007/978-3-030-85529-1 $2 doi
035 $a 978-3-030-85529-1
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Modeling Decisions for Artificial Intelligence $h [electronic resource] : $b 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings / $c edited by Vicenç Torra, Yasuo Narukawa.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XIII, 347 p. 112 illus., 63 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Artificial Intelligence ; $v 12898
505 0 $a Invited 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 -- .
520 $a This 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.
650 2 4 $a Computer Applications. $3 669785
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 1 4 $a Artificial Intelligence. $3 646849
650 0 $a Application software. $3 528147
650 0 $a Data mining. $3 528622
650 0 $a Mathematical logic. $2 bicssc $3 810627
650 0 $a Artificial intelligence. $3 559380
700 1 $a Narukawa, Yasuo. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 768410
700 1 $a Torra, Vicenç. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1254789
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030855284
776 0 8 $i Printed edition: $z 9783030855307
830 0 $a Lecture Notes in Artificial Intelligence ; $v 9285 $3 1253845
856 4 0 $u https://doi.org/10.1007/978-3-030-85529-1
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)