A completed partial order of ordered semi-vector space of intuitionistic fuzzy values

2010 ◽  
Author(s):  
Hsiang-Chuan Liu
Keyword(s):  
Vector Space ◽  
Partial Order ◽  
Intuitionistic Fuzzy

Semiring of Generalized Interval-Valued Intuitionistic Fuzzy Matrices

2017 ◽  
pp. 132-152
Author(s):  
Debashree Manna
Keyword(s):  
Vector Space ◽  
Distributive Lattice ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Algebra ◽  
Definition Of ◽  
Interval Valued

In this paper, the concept of semiring of generalized interval-valued intuitionistic fuzzy matrices are introduced and have shown that the set of GIVIFMs forms a distributive lattice. Also, prove that the GIVIFMs form an generalized interval valued intuitionistic fuzzy algebra and vector space over [0, 1]. Some properties of GIVIFMs are studied using the definition of comparability of GIVIFMs.

Partial orders on linear transformation semigroups

2005 ◽  
Vol 135 (2) ◽  
pp. 413-437 ◽  
Author(s):  
R. P. Sullivan
Keyword(s):  
Vector Space ◽  
Regular Semigroup ◽  
Partial Order ◽  
Linear Transformation ◽  
Natural Partial Order ◽  
Transformation Semigroups ◽  
Linear Transformations ◽  
Partially Ordered ◽  
Partial Linear ◽  
A Chain

Let V be any vector space and P(V) the set of all partial linear transformations defined on V, that is, all linear α: A → B, where A, B are subspaces of V. Then P(V) is a semigroup under composition, which is partially ordered by ⊆ (that is, α ⊆ β if and only if dom α ⊆ dom β and α = β | dom α). We compare this order with the so-called 'natural partial order' ≤ on P(V) and we determine their meet and join. We also describe all elements of P(V) that are minimal (or maximal) with respect to each of these four orders, and we characterize all elements that are 'compatible' with them. In addition, we answer similar questions for the semigroup T(V) consisting of all α ∈ P(V) whose domain equals V. Other orders have been defined by Petrich on any regular semigroup: three of them form a chain below ≤, and we show that two of these are equal on the semigroup P(V) and on the ring T(V). We also consider questions for these orders that are similar to those already mentioned

Rank and dimension functions

2015 ◽  
Vol 29 ◽  
pp. 144-155
Author(s):  
K. Prasad ◽  
Nupur Nandini ◽  
Divya Shenoy
Keyword(s):  
Vector Space ◽  
Partial Order ◽  
Commutative Ring ◽  
Free Module ◽  
Projective Modules ◽  
Finitely Generated ◽  
The Matrix ◽  
Dimension Functions ◽  
Rank Of A Matrix ◽  
Minus Partial Order

In this paper, we invoke theory of generalized inverses and minus partial order on regular matrices over a commutative ring to define rank–function for regular matrices and dimension–function for finitely generated projective modules which are direct summands of a free module. Some properties held by the rank of a matrix and the dimension of a vector space over a field are generalized. Also, a generalization of rank-nullity theorem has been established when the matrix given is regular.

scholarly journals Ordered Gyrovector Spaces

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1041 ◽  
Author(s):  
Sejong Kim
Keyword(s):  
Vector Space ◽  
Partial Order ◽  
Convex Cone ◽  
Construction Scheme ◽  
Proper Convex

The well-known construction scheme to define a partial order on a vector space is to use a proper convex cone. Applying this idea to the gyrovector space we construct the partial order, called a gyro-order. We also give several inequalities of gyrolines and cogyrolines in terms of the gyro-order.

Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Real Interval ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Fuzzy Preference Relations ◽  
Novel Concept ◽  
Fuzzy Weights ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

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