Human-Inspired Granular Computing

2010 ◽  
pp. 1-15 ◽  
Author(s):  
Yiyu Yao
Keyword(s):  
Information Processing ◽  
Problem Solving ◽  
Granular Computing ◽  
Hierarchical Structures ◽  
Structured Information ◽  
Multiple Levels ◽  
Structured Problem Solving ◽  
Structured Approach ◽  
Machine Problem

In this chapter, I explore a view of granular computing as a paradigm of human-inspired problem solving and information processing, covering human-oriented studies and machine-oriented studies. By exploring the notion of multiple levels of granularity, one can identify, examine and formalize a special family of principles, strategies, heuristics, and methods that are commonly used by humans in daily problem solving. The results may then be used for human and machine problem solving, as well as for implementing human-inspired approaches in machines and systems. The triarchic theory of granular computing unifies both types of studies from three perspectives, namely, a philosophy of structured thinking, a methodology of structured problem solving, and a computation paradigm of structured information processing. The stress on multilevel, hierarchical structures makes granular computing a human-inspired and structured approach to problem solving.

Certain models of granular computing based on rough fuzzy approximations

2020 ◽  
Vol 39 (3) ◽  
pp. 2797-2816
Author(s):  
Muhammad Akram ◽  
Anam Luqman ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Problem Solving ◽  
Granular Computing ◽  
Research Study ◽  
Network Models ◽  
Mathematical Framework ◽  
Human Reasoning ◽  
Accuracy Measures ◽  
Lower And Upper Approximations

An extraction of granular structures using graphs is a powerful mathematical framework in human reasoning and problem solving. The visual representation of a graph and the merits of multilevel or multiview of granular structures suggest the more effective and advantageous techniques of problem solving. In this research study, we apply the combinative theories of rough fuzzy sets and rough fuzzy digraphs to extract granular structures. We discuss the accuracy measures of rough fuzzy approximations and measure the distance between lower and upper approximations. Moreover, we consider the adjacency matrix of a rough fuzzy digraph as an information table and determine certain indiscernible relations. We also discuss some general geometric properties of these indiscernible relations. Further, we discuss the granulation of certain social network models using rough fuzzy digraphs. Finally, we develop and implement some algorithms of our proposed models to granulate these social networks.

Studying Political Consumerism

2018 ◽  
pp. xvi-24
Author(s):  
Magnus Boström ◽  
Michele Micheletti ◽  
Peter Oosterveer
Keyword(s):  
Problem Solving ◽  
Research Design ◽  
Political Consumerism ◽  
Critical Questions ◽  
Geographic Spread ◽  
Production And Consumption ◽  
Multiple Levels ◽  
Industry Sectors ◽  
Major Industry

The Oxford Handbook of Political Consumerism addresses the study of political consumerism. It discusses how production and consumption affect broader societal affairs at home and abroad, and how the phenomenon of political consumerism has developed in different directions—geographically, conceptually, and methodologically—and in multiple sectors, at multiple levels, and involving multiple disciplines. Its varieties create challenges for scholars to make sense of the phenomenon. Critical questions arise about its appropriate conceptual framing and methodologies. This introductory chapter defines and elaborates upon political consumerism and its four forms (boycotts, buycotts, discursive actions, and lifestyle endeavors). It offers an overview of the Handbook’s six thematic parts: political consumerism’s history, its theory and research design, its presence in major industry sectors, its global geographic spread and practice, its democratic paradoxes and challenges, and its problem-solving potential. This chapter also provides summaries and reviews of the Handbook’s thirty-nine chapters.

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