Solving a Chance-Constrained Single-Period Inventory Model with Type-1 Fuzzy Set

2018 ◽  
pp. 15-27
Author(s):  
Anuradha Sahoo ◽  
J. K. Dash
Keyword(s):  
Fuzzy Set ◽  
Inventory Model ◽  
Single Period

Building a Type-2 Fuzzy Qualitative Regression Model

2012 ◽  
Vol 16 (4) ◽  
pp. 527-532 ◽  
Author(s):  
Yicheng Wei ◽  
◽  
Junzo Watada
Keyword(s):  
Regression Model ◽  
Fuzzy Set ◽  
Point Of View ◽  
Fuzzy Regression ◽  
Theoretical Point ◽  
Heuristic Solution ◽  
Fuzzy Regression Model ◽  
Real Value

Type-1 fuzzy regression model is constructed with type-1 fuzzy coefficients dealing with real value inputs and outputs. From the fuzzy set-theoretical point of view, uncertainty also exists when associated with qualitative data (membership degrees). This paper intends to build a qualitative regression model to measure uncertainty by applying the type-2 fuzzy set as the model’s coefficients. We are thus able to quantitatively describe the relationship between qualitative object variables and qualitative values of multivariate attributes (membership degree or type-1 fuzzy set), which are given by subjective recognition and judgment. We will build a basic qualitative model first and then improve it capable of ranging inputs. We will also give a heuristic solution in the end.

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