Kooperativer Bibliotheksverbund

UID:

Format: 1 online resource (365 pages)

Edition: 1st ed. 2024.

ISBN: 3-031-50495-X

Series Statement: Studies in Computational Intelligence, 1134

Content: This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management. In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the applicationand extension of computational intelligence The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making. The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge. Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written. .

Note: Critical Review of Computational Intelligence in Project Management -- Conversational Systems and Computational Intelligence, a critical analysis -- Fuzzy cognitive maps, extensions and applicability as an explanatory artificial intelligence model -- Project scheduling a critical review of both traditional and metaheuristic technique -- Systematic Review of Augmented Reality (AR) And Bim for The Management of Deadlines, Costs and Quality -- Assessing Adoption Archetypes of Advanced Technologies in Industrial Clusters -- Computational Intelligence in Project Planning and Monitoring -- Combining EDA and Simulated Annealing strategies in Project Scheduling Construction.

Additional Edition: ISBN 3-031-50494-1

Language: English

Subjects: Computer Science

DOI: 10.1007/978-3-031-50495-2

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XI, 431 p. 117 illus., 81 illus. in color)

Edition: 1st ed. 2022

ISBN: 9783030972691

Series Statement: Studies in Computational Intelligence 1035

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-97268-4

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-97270-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-97271-4

Language: English

Subjects: Computer Science

Keywords: Aufsatzsammlung

DOI: 10.1007/978-3-030-97269-1

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XI, 431 p. 117 illus., 81 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9783030972691

Series Statement: Studies in Computational Intelligence, 1035

Content: This book presents new developments and advances in the theory, applications, and design methods of computational intelligence, integrated in various areas of project management and BIM environments. The chapters of the book span different soft computing techniques, such as: linguistic data summarization, fuzzy systems, evolutionary algorithms, estimation distribution algorithms, computing with words, augmented reality, and hybrid intelligence systems. In addition, different applications of the neutrosophic theory are presented for the treatment of uncertainty and indeterminacy in decision-making processes. Several chapters of the book constitute systematic reviews, useful for future investigations in the following topics: linguistic summarization of data, augmented reality, and the development of BIM technologies. It is a particularly interesting book for engineers, researchers, specialists, teachers, and students related to project management and the development of BIM technologies.

Note: Part I: Linguistic Data Summarization for Decision-Making in Project Management -- Linguistic Data Summarization: A Systematic Review -- New Linguistic Data Summarization Approach for Prediction Problems in Project Management Applications -- Linguistic Data Summarization with Multilingual Approach -- Project to Improve Offensive Phase Finalization of Futsal Teams by Using Linguistic Data Summarization Techniques -- Algorithms for Linguistic Description of Categorical Data -- New Indicators for the Assessment of Linguistic Summaries Considering a Rough Sets Approach -- Part II: Planning and Sustainability of Projects Assisted by Artificial Intelligence -- Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Scheduling Problem -- New Methods for Feasibility Analysis of Investment Projects in Uncertain Environments -- Sustainability Risk Management for Project-Oriented Organizations -- New Extensions of Fuzzy Cognitive Maps for Sequential Multistage Decision-Making Problems: Application in Project Management -- A Software Ecosystem for Project Management in BIM Environments Assisted by Artificial Intelligent Techniques -- Part III: Knowledge and Human Resources Management Assisted by Artificial Intelligence -- Team Formation Integrating Various Factors: Model and Solution Approach -- A TOPSIS-based Method for Personnel Selection in Software Projects -- Combining Artificial Intelligence and Project Management Techniques in Ecosystem for Training and Innovation -- Evaluation of an Accreditation Variable for University Institutions Using 2 Tuple Linguistic Representation Model -- Ontology-based Management of the Scientific Activity in Software Development Projects -- Project Management Repository for Decision-Making Researches -- Part IV: BIM and Other Emerging Technologies in Project Management -- Relevance of the National Program of Automatic, Robotics and Artificial Intelligence projects in Applications -- Tendencies in Augmented Reality -- Integration of Augmented Reality and BIM in Early Stages to Improve Design Management in Engineering and Construction Projects -- Design of a Proposal for The Implementation of Scope, Schedule and Cost Management in Fast-Track Projects Using BIM Methodology in 3D, 4D and 5D -- Hybrid System (M-SALD) of Multicriterial Analysis as a Decision Support Tool for the Selection of Areas for the Construction of Hydraulic Structures -- Trends in Photogrammetry and its Integration with Artificial Intelligence.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783030972684

Additional Edition: Printed edition: ISBN 9783030972707

Additional Edition: Printed edition: ISBN 9783030972714

Language: English

DOI: 10.1007/978-3-030-97269-1

URL: https://doi.org/10.1007/978-3-030-97269-1

UID:

Format: 1 online resource (365 pages)

Edition: 1st ed.

ISBN: 3-031-50495-X

Series Statement: Studies in Computational Intelligence Series ; v.1134

Additional Edition: ISBN 3-031-50494-1

Language: English

UID:

Format: 1 online resource (423 pages)

ISBN: 3-030-97269-0

Series Statement: Studies in computational intelligence ; Volume 1035

Note: Intro -- Preface -- Acknowledgments -- Contents -- Part I Linguistic Data Summarization for Decision-Making in Project Management -- 1 Linguistic Data Summarization: A Systematic Review -- 1 Introduction -- 2 Methodology -- 3 Linguistic Data Summarization Review -- 3.1 Evolution and Trends in Protoforms for the Construction of Summaries -- 3.2 Methods or Techniques for the Generation of Linguistic Data Summaries -- 3.3 Main Validation Techniques and Methods Used in the Investigations -- 3.4 Areas of Application of Linguistic Summaries -- 4 Conclusions -- References -- 2 New Linguistic Data Summarization Approach for Prediction Problems in Project Management Applications -- 1 Introduction -- 2 Structure of Linguistic Summaries and Contact Points with Fuzzy Inference Systems -- 3 A New Approach for Inference Based on Linguistic Summaries -- 4 Application in Decision-Making in Project Management -- 4.1 Results of Test 1 Impact of the Use of Different Combinations of T Indicators in the Inference Process -- 4.2 Results of Test 2 Comparison of the Proposal with Other Inference Methods -- 5 Conclusions -- References -- 3 Linguistic Data Summarization with Multilingual Approach -- 1 Introduction -- 2 New Approach for Linguistic Summaries Generation by Using Controller Natural Language -- 2.1 Definition of Controlled Natural Languages for the Construction of Multilingual Linguistic Summaries -- 3 New Algorithms for Generation of Multilingual Linguistic Summaries -- 3.1 LPALDS Algorithm Based on Probabilistic Graphs -- 3.2 Algorithm for the Generation of Linguistic Summaries Based on Rough Sets (RSTLDS) -- 3.3 Algorithm for the Humanization of Linguistic Summaries Using Controlled Natural Languages. -- 4 Analysis of Results and Validation of the Proposed Algorithms -- 4.1 Comparison of the Proposed Algorithms with Others Reported in the Bibliography. , 4.2 Validation of the Algorithms in Their Ability to Generate Summaries Under a Multilingual Approach -- 5 Conclusions -- References -- 4 Project to Improve Offensive Phase Finalization of Futsal Teams by Using Linguistic Data Summarization Techniques -- 1 Introduction -- 2 Discovering Linguistic Summaries Deal with Futsal Team Weaknesses -- 3 Results and Discussion -- 3.1 Variable Goal in the 2018/2019 Seasons -- 3.2 Variable Positive Shots in 2018/2019 Seasons -- 3.3 Static Positional Strategy Plays in 2018/2019 Seasons with Respect to Goal and Positive Shots -- 3.4 Positional Transitions in Motion in 2018/2019 Seasons Regarding Goal and Positive Shots -- 4 Conclusions -- References -- 5 Algorithms for Linguistic Description of Categorical Data -- 1 Introduction -- 2 Method for Generating Composite Linguistic Summaries -- 2.1 Generation of Association Rules -- 2.2 Building Type-I Constituent Summaries -- 2.3 Building Type-II Constituent Summaries -- 2.4 Building the Evidence Composite Relations -- 2.5 Building the Contrast Composite Relations -- 2.6 Building the Emphasis Composite Relations -- 3 Use Case -- 3.1 Design and Implementation -- 3.2 Results and Examples -- 4 Evaluating the Interpretability of Relations -- 4.1 Design -- 4.2 Instrument -- 5 Results and Discussion -- 6 Conclusions -- References -- 6 New Indicators for the Assessment of Linguistic Summaries Considering a Rough Sets Approach -- 1 Introduction -- 2 Traditional Indicators for the Evaluation of Linguistic Summaries -- 2.1 Degree of Truth -- 2.2 Degree of Imprecision T2 -- 2.3 Degree of Coverage T3 -- 2.4 Degree of Appropriateness T4 -- 2.5 Length of a Summary T5 -- 3 New Extensions of T Indicators to Evaluate Linguistic Summaries -- 3.1 Definitions and Notations Used in the Proposed Extensions -- 3.2 Extensions for Calculating the Degree of Truth Te1a. , 3.3 Extensions to Degree of Imprecision -- 3.4 Extension to the Calculation of the Degree of Coverage Te3 -- 3.5 Extension to the Calculation of the Degree of Appropriateness Te4 -- 3.6 Extension to the Evaluation of the Length of Te5 Summaries -- 4 Comparison of Traditional and Extended Indicators -- 4.1 Analysis of the Behavior of the Degree of Truth Indicator and Its Extensions -- 4.2 Analysis of the Behavior of the Degree of Support Indicator and Its Extension -- 4.3 Analysis of the Behavior of the Degree of Appropriateness Indicator and Its Extension -- 4.4 Analysis of the Behavior of the Indicator Length of a Summary and Its Extension -- 4.5 Summary of Comparison of Indicators Regarding the Treatment of Uncertainty -- 5 Conclusions -- References -- Part II Planning and Sustainability of Projects Assisted by Artificial Intelligence -- 7 Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Scheduling Problem -- 1 Introduction -- 2 Modeling the MMRCPSP Optimization Problem -- 2.1 Formalization of the Optimization Problem -- 2.2 Constraints Learning Univariate Marginal Distribution Algorithm (CLUMDA) -- 2.3 Solution Design -- 2.4 Detailed Formalization of the CLUMDA -- 3 Experimental Results and Discussion -- 3.1 "Mean Makespan" Variable -- 3.2 "Number of Times the Optimum Founded" Variable -- 4 Conclusions -- References -- 8 New Methods for Feasibility Analysis of Investment Projects in Uncertain Environments -- 1 Introduction -- 2 Background -- 3 Model for the Feasibility Analysis of Investment Projects in Environments with Uncertainty -- 4 Experimentation -- 4.1 Case Study -- 5 Conclusions -- References -- 9 Sustainability Risk Management for Project-Oriented Organizations -- 1 Introduction -- 2 Procedure -- 2.1 Stage 1. Previous Preparation -- 2.2 Stage 2. Organizational Analysis. , 2.3 Stage 3. Risk Evaluation -- 2.4 Stage 4. Risk Treatment -- 2.5 Stage 5. Monitoring and Continuous Improvement -- 3 Results -- 3.1 User Satisfaction with the Proposed Procedure -- 3.2 Case Study -- 4 Conclusions -- References -- 10 New Extensions of Fuzzy Cognitive Maps for Sequential Multistage Decision-Making Problems: Application in Project Management -- 1 Introduction -- 2 Multistage Sequential Triangular Neutrosophic Cognitive Map (MSTrNCM) -- 2.1 Representation of the Relationships Among Concepts and Map Construction -- 2.2 Map Inference and Activation Function -- 3 Neutrosophic Cognitive Map Based on Linguistic Data Summarization -- 3.1 Representation of the Relationships Among Concepts and Map Construction -- 3.2 Inference Process of NCMLDS -- 4 Validation and Results Analysis -- 4.1 Experiment 1: Analysis of the Algorithms Regarding the Parameter Lambda Λ -- 4.2 Experiment 2: Comparison Regarding the Error in Prediction and Precision -- 4.3 Experiment 3: Algorithms Applicability Analysis -- 4.4 Experiment 4: Evaluation of the Efficiency of Algorithms Considering the Indicator "Execution Time" -- 5 Conclusion and Future Work -- References -- 11 A Software Ecosystem for Project Management in BIM Environments Assisted by Artificial Intelligent Techniques -- 1 Introduction -- 2 Brief Analysis of Software Ecosystems -- 3 Architecture of the BusinessRedmine Software Ecosystem -- 4 Results Analysis -- 4.1 Experiment 1: Comparison of the Proposal with Other Tools -- 4.2 Experiment 2: Analysis of the System Implementation Process in Different Scenarios -- 4.3 Experiment 3: Analysis of the Behavior of the Project Evaluation Subsystem -- 5 Conclusions -- References -- Part III Knowledge and Human Resources Management Assisted by Artificial Intelligence -- 12 Team Formation Integrating Various Factors: Model and Solution Approach -- 1 Introduction. , 2 Related Works -- 2.1 Formation of Student Teams -- 2.2 Formation of Experts Teams in Social Networks -- 2.3 Formation of Sports Teams -- 2.4 Formation of Professional Teams -- 2.5 Formation of Software Teams -- 2.6 Formation of Medical Teams -- 3 Multiple Team Formation Model -- 4 Solution Approach to the Multiple Team Formation Model -- 5 Experiments -- 6 Conclusions and Future Works -- References -- 13 A TOPSIS-Based Method for Personnel Selection in Software Projects -- 1 Introduction -- 2 Background on MCDM Process and Methods -- 3 The Proposed TOPSIS-Based Method for Personnel Selection in Software Projects -- 4 Solving a Personnel Selection Problem in a Cuban IT Project -- 5 Conclusions -- References -- 14 Combining Artificial Intelligence and Project Management Techniques in Ecosystem for Training and Innovation -- 1 Introduction -- 2 Proposal for an Ecosystem of Training and Innovation in Project Management -- 3 Analysis of Results and Application of the Program -- 3.1 Analysis of Results in the Application in the Master's Program in Project Management -- 3.2 Analysis of Results in the Development of the BusinessRedmine Ecosystem and Its Application in Different Environments -- 4 Conclusions -- References -- 15 Evaluation of an Accreditation Variable for University Institutions Using 2 Tuple Linguistic Representation Model -- 1 Introduction -- 2 Materials and Methods -- 2.1 Characteristics of the Quality Evaluation Process of Higher Education Institutions in Cuba -- 2.2 The Evaluation of the Quality of HEIs as a Decision-Making Problem -- 3 Results and Discussion -- 3.1 Description and Classification of the Problem -- 3.2 Solution of the Problem by Means of FLINSTONES -- 4 Conclusions -- References -- 16 Ontology-Based Management of the Scientific Activity in Software Development Projects -- 1 Introduction -- 2 Technologies and Tools. , 3 Ontology for the Management of Scientific Activity.

Additional Edition: ISBN 9783030972684

Language: English

UID:

Format: XI, 367 p. 92 illus., 61 illus. in color. , online resource.

Edition: 1st ed. 2024.

ISBN: 9783031504952

Series Statement: Studies in Computational Intelligence, 1134

Content: This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management. In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the applicationand extension of computational intelligence The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making. The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge. Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written. .

Note: Critical Review of Computational Intelligence in Project Management -- Conversational Systems and Computational Intelligence, a critical analysis -- Fuzzy cognitive maps, extensions and applicability as an explanatory artificial intelligence model -- Project scheduling a critical review of both traditional and metaheuristic technique -- Systematic Review of Augmented Reality (AR) And Bim for The Management of Deadlines, Costs and Quality -- Assessing Adoption Archetypes of Advanced Technologies in Industrial Clusters -- Computational Intelligence in Project Planning and Monitoring -- Combining EDA and Simulated Annealing strategies in Project Scheduling Construction.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031504945

Additional Edition: Printed edition: ISBN 9783031504969

Additional Edition: Printed edition: ISBN 9783031504976

Language: English

DOI: 10.1007/978-3-031-50495-2

URL: https://doi.org/10.1007/978-3-031-50495-2