The Encyclicon Volume 1

Volume 1 has a very comprehensive chapter that describes the Analytic Network Process and a step by step description on how to design and implement a Benefits - Opportunities - Costs and Risks model. The Encyclicon is an advanced dictionary of structures used to represent complex decisions. The first dictionary of hierarchic decision making was the Hierarchon. Since hierarchies are a special case of networks, the examples given here can be regarded as more general and complete representation of decision making. In particular, except for a group of market share examples, they all involve decisions made by considering Benefits (B), Opportunities (O), Costs (C) and Risks (R). They also involve a synthesis of these BOCR merits into a single overall best outcome for a decision. This is the first volume of the series of Encyclicon books. Each of the books contains different models from different years, collected by a different author along with Thomas L. Saaty and although all books tackle similar topics there are different models and different approaches on how to summarize and represent models for general use. These books are meant as a reference guide when you try to set up ANP or AHP complex decision models. The case studies in the books are linked to online reference material related to that which often include the super decision model, power point presentation and the original report of the case.

Volume 4 has a very large number of more recent case studies and takes a closer look to the building process of the Benefits - Opportunities-Costs and Risks models using AHP top level networks, rating of the B,O, C, R with the help of the strategic criteria and ANP bottom level networks. The Encyclicon is an advanced dictionary of structures used to represent complex decisions. The first dictionary of hierarchic decision making was the Hierarchon. Since hierarchies are a special case of networks, the examples given here can be regarded as more general and complete representation of decision making. In particular, except for a group of market share examples, they all involve decisions made by considering Benefits (B), Opportunities (O), Costs (C) and Risks (R). They also involve a synthesis of these BOCR merits into a single overall best outcome for a decision. This is the first volume of the series of Encyclicon books. Each of the books contains different models from different years, collected by a different author along with Thomas L. Saaty and although all books tackle similar topics there are different models and different approaches on how to summarize and represent models for general use. These books are meant as a reference guide when you try to set up ANP or AHP complex decision models. The case studies in the books are linked to online reference material related to that which often include the super decision model, power point presentation and the original report of the case.

Volume 3 gives many examples of personal decisions formulated as complex decision models. There are many other kinds of models ranging from Strategy to Investment. The Encyclicon is an advanced dictionary of structures used to represent complex decisions. The first dictionary of hierarchic decision making was the Hierarchon. Since hierarchies are a special case of networks, the examples given here can be regarded as more general and complete representation of decision making. In particular, except for a group of market share examples, they all involve decisions made by considering Benefits (B), Opportunities (O), Costs (C) and Risks (R). They also involve a synthesis of these BOCR merits into a single overall best outcome for a decision. This is the first volume of the series of Encyclicon books. Each of the books contains different models from different years, collected by a different author along with Thomas L. Saaty and although all books tackle similar topics there are different models and different approaches on how to summarize and represent models for general use. These books are meant as a reference guide when you try to set up ANP or AHP complex decision models. The case studies in the books are linked to online reference material related to that which often include the super decision model, power point presentation and the original report of the case.

Volume 2 has a very detailed description of the strategic criteria used to rate the importance of the sub networks of Benefits - Opportunities - Costs and Risks (BOCR) The Encyclicon is an advanced dictionary of structures used to represent complex decisions. The first dictionary of hierarchic decision making was the Hierarchon. Since hierarchies are a special case of networks, the examples given here can be regarded as more general and complete representation of decision making. In particular, except for a group of market share examples, they all involve decisions made by considering Benefits (B), Opportunities (O), Costs (C) and Risks (R). They also involve a synthesis of these BOCR merits into a single overall best outcome for a decision. This is the first volume of the series of Encyclicon books. Each of the books contains different models from different years, collected by a different author along with Thomas L. Saaty and although all books tackle similar topics there are different models and different approaches on how to summarize and represent models for general use. These books are meant as a reference guide when you try to set up ANP or AHP complex decision models. The case studies in the books are linked to online reference material related to that which often include the super decision model, power point presentation and the original report of the case.

The ever expanding abundance of information and computing power enables - searchers and users to tackle highly interesting issues, such as applications prov- ing personalized access and interactivity to multimodal information based on user preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The general focus of the AIAI conf- ence is to provide insights on how AI can be implemented in real world applications. This volume contains papers selected for presentation at the 5th IFIP Conf- ence on Artificial Intelligence Applications & Innovations (AIAI 2009) being held from 23rd till 25th of April, in Thessaloniki, Greece. The IFIP AIAI 2009 conf- ence is co-organized by the Aristotle University of Thessaloniki, by the University of Macedonia Thessaloniki and by the Democritus University of Thrace. AIAI 2009 is the official conference of the WG12.5 "Artificial Intelligence Appli- tions" working group of IFIP TC12 the International Federation for Information Processing Technical Committee on Artificial Intelligence (AI). It is a conference growing and maintaining high standards of quality. The p- pose of the 5th IFIP AIAI Conference is to bring together researchers, engineers and practitioners interested in the technical advances and business / industrial - plications of intelligent systems. AIAI 2009 is not only focused in providing - sights on how AI can be implemented in real world applications, but it also covers innovative methods, tools and ideas of AI on architectural and algorithmic level.

In this book Thomas Saaty summarizes his Analytic Hierarchy Process (AHP) theory for measuring intangible factors through paired comparisons using judgments from which priorities are derived that give the relative dominance of these factors. The important concepts of the AHP and its generalization to structures with dependence and feedback, the Analytic Network Process (ANP), are presented in an elegant compact way and new extensions of the theory to complex decisions involving benefits, opportunities, costs and risks are presented. Applications to resource allocation and conflict resolution are included. The generalization to continuous comparisons is covered. The Encyclicon, three volumes are now available, is an encyclopedia of applications that is a useful accompaniment to the Principles of Mathematical Decision Making, containing of examples of practical decisions.

Methods and techniques adopted in teaching, training, learning, research, professional development, or capacity building are generally standardized across most traditional disciplines, particularly within developing countries. This is not the case, however, when it comes to the Islamic disciplines, and, in particular, in relation to the study of Islamic economics and finance, which is influenced by conventional standards and techniques. This is primarily due to the lack of availability of the requisite standards and mechanisms designed within the spirit of Maqsid al-Shari’ah. This book offers a unique resource and a comprehensive overview of the contemporary methods and smart techniques available for teaching, learning, and researching Islamic eco-finance, and it presents solutions to the challenges in implementing them. Further, the book gives deep insight into the most appropriate methodologies that could be employed empirically to explore, model, analyze, and evaluate Islamic finance theories and models, respectively. It also gives recommendations for improving learning, teaching, and research outcomes in Islamic eco-finance. The book also addresses how, in this advanced technological era, smart tools like artificial intelligence, machine learning, big data, Zoom, and the internet of things can be adapted to help equip students, researchers, and scholars with smart skills. The book will enable those studying Islamic economics and finance to grasp the appropriate tools for research and learning. Additionally, the Islamic economics and finance sector is growing at a significant rate and therefore requires the upskilling and capacity building of its human resources; thus, the book will also be highly beneficial for practitioners involved in the industry.

The two-volume set LNAI 9119 and LNAI 9120 constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were carefully reviewed and selected from 322 submissions. These proceedings present both traditional artificial intelligence methods and soft computing techniques. The goal is to bring together scientists representing both areas of research. The first volume covers topics as follows neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification and estimation, computer vision, image and speech analysis and the workshop: large-scale visual recognition and machine learning. The second volume has the focus on the following subjects: data mining, bioinformatics, biometrics and medical applications, concurrent and parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation and various problems of artificial intelligence.