Elements of Sketching with Words

Imran, Bahtiar; Beg, M. M. Sufyan

doi:10.1109/grc.2010.47

Cited by 17 publications

(11 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1(b). The m of a point decreases with an increase in the l [4]. When we have a closer look at Fig 1(a), exactly zero, but has haziness.…”

Section: A Fuzzy Pointsmentioning

confidence: 87%

“…h is like a curve that passes at the distance between any ht line AB is very small or 2, this implies that we are he distance d, with the an imprecise value [4].…”

Section: Fuzzy Trianglementioning

confidence: 98%

“…Point to be noted here is AB/DC *= BC/AD means AB/DC' is approximately equals to BC/AD [4][5][6]. The membership function of the difference in proportion is computed by (9).…”

Section: ) Side Angle Side (Sas)mentioning

confidence: 99%

“…For all the geometric shapes, the estimation of membership function is done on the basis of perception. This work is based on sketching with words technique [4]. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

“…In Flu, there is concept of perception based f-valid reasoning. In [4]- [6] authors apply novel approach for the estimation of perceptions in geometric shapes, which become the basis for the complex shape. For all the geometric shapes, the estimation of membership function is done on the basis of perception.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Estimation of f-validity of geometrical objects with OWA operator weights

Rahman

Beg

2013

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

View full text Add to dashboard Cite

In the age of sophisticated crimes and terrorism, there is a requirement to develop a perception based multi criteria decision making system that can reveal the hidden clues in the environment of uncertainty. The crime has no fixed dimension to be carried out in. But, still there remain some imprecise clues for the crime site investigation team and precise interpretation of these clues is impossible. That is the place where role of proposed extended fuzzy logic (FLe) comes into play. Moreover, for decision making crime site investigation team has to consider multi criteria with different weights under the uncertainty. So, Extended Fuzzy Logic and Ordered weighted Averaging (OWA) may be taken together as a double folded milestone in revealing the uncertainty in the world of computational forensic. The concept of unprecisiated fuzzy logic (Flu) was introduced by Zadeh. When a perfect solution cannot be given or process falls excessively costly then the role of concept of Flu comes into play. This novel concept provides the basis for FLe. In order to have a better understanding of Flu, the concept of f-geometry is introduced. The proposed work is based on sketching with word technique. We have introduced some ftheorems in proposed work. These f-theorems can be used for estimating the membership value of f-objects in f-geometry. These f-objects may play vital role for identifying clues in computational forensic.

show abstract

“…1(b). The m of a point decreases with an increase in the l [4]. When we have a closer look at Fig 1(a), exactly zero, but has haziness.…”

Section: A Fuzzy Pointsmentioning

confidence: 87%

“…h is like a curve that passes at the distance between any ht line AB is very small or 2, this implies that we are he distance d, with the an imprecise value [4].…”

Section: Fuzzy Trianglementioning

confidence: 98%

“…Point to be noted here is AB/DC *= BC/AD means AB/DC' is approximately equals to BC/AD [4][5][6]. The membership function of the difference in proportion is computed by (9).…”

Section: ) Side Angle Side (Sas)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations