To precisely apply fuzzy preferences, fuzzy rating is used to simulate customers' purchase decisions.
Fuzzy rating was obtained from the least difference of Fpred − Frec.
Here, we assess forest decline in the Czech Republic Central Europee) using fuzzy functions, fuzzy sets and fuzzy rating of ecosystem properties over a 1 × 1 km grid.
Two different linguistic variables for factors weights fuzzy rating and maintenance strategy assessment rating are proposed.
Step2: The next step is computation of aggregate fuzzy rating, denoted by ( {tilde{x}}_{ij} ).
The aggregated fuzzy rating is given by tilde{R}=left a,b,cright),kern4.5em k=1,2,dots dots k (13).
A set of fuzzy rates is required in order to compare all the alternatives for each criterion.
The fuzzy rating value in this case is described based on triangular fuzzy numbers, ( tilde{x}_{ij} = (a_{ij},b_{ij}, c_{ij} ) ).
For criteria, significant fuzzy rating scale is described by using 'equally important' (EI), 'moderately important' (MI), 'strongly important' (SI), 'very strongly important' (VI) and 'extremely important' (XI).
If the fuzzy rating for all decision makers is described by TFN such that {tilde{R}}_k=left({a}_k,{b}_k,{c}_kright),kern2.25em k=1,2,dots dots k (12).
