An Inexact Reasoning Method Based on Sugeno Integral

2019 ◽  
pp. 30-37
Author(s):  
Jun Shen ◽  
De-jun Peng ◽  
Sheng-quan Ma
Keyword(s):  
Sugeno Integral ◽  
Inexact Reasoning

scholarly journals Sugeno integral generalization applied to improve adaptive image binarization

2021 ◽  
Vol 68 ◽  
pp. 37-45
Author(s):  
Francesco Bardozzo ◽  
Borja De La Osa ◽  
Ľubomíra Horanská ◽  
Javier Fumanal-Idocin ◽  
Mattia delli Priscoli ◽  
...  
Keyword(s):  
Image Binarization ◽  
Sugeno Integral

scholarly journals Opposite Sugeno Integral

1998 ◽  
Vol 10 (2) ◽  
pp. 200-205
Author(s):  
Haruki IMAOKA
Keyword(s):  
Sugeno Integral

scholarly journals Design Evaluation: Decomposition and State-space Analysis

10.14311/460 ◽  
2003 ◽  
Vol 43 (4) ◽  
Author(s):  
G. Green
Keyword(s):  
State Space ◽  
Evaluation Activity ◽  
Space Analysis ◽  
State Space Analysis ◽  
Engineering Design Process ◽  
Conceptual Design Phase ◽  
Large Numbers ◽  
Design Characteristics ◽  
Inexact Reasoning ◽  
Associated Design

This paper outlines the increasing demands upon evaluation activity during the engineering design process. In particular, the need to address large numbers of innovative concept options during the conceptual design phase is stressed and a six-step methodology proposed. This methodology combines and integrates techniques of inexact reasoning with the need to combine two basic human approaches to evaluation, namely decomposition and holistic. The holistic evaluation elements comprise fuzzy estimates of probability of achieving Pareto optimal status combined with state-space analysis. An example demonstrates how these methods may converge to provide an appropriate support for human evaluation of emerging designs. It is concluded that the six-step methodology exhibits validity and time reduction in terms of providing an aid to the evaluation of a large number of merging designs and their associated design characteristics.

scholarly journals SOFTWARE SELECTION ON BASE OF SUGENO INTEGRAL

World Science ◽  
2020 ◽  
Author(s):  
Vagif Salimov
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Mutual Influence ◽  
Evaluation Criteria ◽  
Fuzzy Measure ◽  
Multi Criteria Decision Making ◽  
Main Difficulty ◽  
Software Selection ◽  
Sugeno Integral ◽  
Theory Of Fuzzy Sets

The article is devoted to the problem of  software selection. As a rule, this tasks are formalized as models of multi-criteria decision making (MCDM). The peculiarity of this problem is in the fact that the evaluation criteria , is generally defined by linguistic expert. This requires the use of special methods, in particularly, the theory of fuzzy sets. To solve the problem, an approach based on the  a fuzzy measure  was used . In general, a fuzzy measure allows one to take into account the effect of the mutual influence of criteria. The main difficulty lies in identifying this measure. The fuzzy Sugeno measure and  Sugeno integral were used. An example of solving the indicated problem is given.

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