Planning under conditions of uncertainty, time pressure, and other stressors is a complex cognitive activity for military command post staff members. The Army and the Marine Corps have developed formal planning models intended as step-by-step guides. However, these models are inconsistent with the actual strategies of skilled planners, and they slow down the decision cycle. As a result, the for...

Intuitionistic Fuzzy numbers each of which is characterized by the degree of membership and the degree of non-membership of an element are a very useful means to depict the decision information in the process of decision making. The aim of this article is to investigate the approach to multiple attribute group decision making with intuitionistic trapezoidal fuzzy numbers, some operational laws ...

MOTIVATION Homology search is one of the most fundamental tools in Bioinformatics. Typical alignment algorithms use substitution matrices and gap costs. Thus, the improvement of substitution matrices increases accuracy of homology searches. Generally, substitution matrices are derived from aligned sequences whose relationships are known, and gap costs are determined by trial and error. To discr...

let a; b; k 2 k and u ; v 2 u(k). we show for any idempotent e 2 k, ( a 0 b 0 ) is e-clean i ( a 0 u(vb + ka) 0 ) is e-clean and if ( a 0 b 0 ) is 0-clean, ( ua 0 u(vb + ka) 0 ) is too.

Probabilistic decision-based neural networks (PDBNNs) were originally proposed by Lin, Kung and Lin for human face recognition. Although high recognition accuracy has been achieved, not many illustrations were given to highlight the characteristic of the decision boundaries. This paper aims at providing detailed illustrations to compare the decision boundaries of PDBNNs with that of Gaussian mi...

— Several Multi-Criteria Decision Making (MCDM) methods involve pairwise comparisons to obtain the preferences of decision makers (DMs). This paper proposes a fuzzy group prioritization method for deriving group priorities/weights from fuzzy pairwise comparison matrices. The proposed method extends the Fuzzy Preferences Programming Method (FPP) by considering the different importance weights of...

The group decision-making problems with several experts and seriously different opinions are unable to be solved by current existing DS/AHP methods. In order to solve above problems, a derived model is constructed to recognize the optimal Basic Probability Assignment (BPA) functions from TIN knowledge matrices by introducing deviation variables. After that, a modified model and its correspondin...

The Consecutive Ones property (C1P) is a well studied structural property concerning binary matrices, with important applications in genome assembly. While the original decision problem of detecting C1P matrices is solvable in polynomial time, decision and optimization problems on generalizations of the property are usually intractable. These generalizations are extremely important concepts use...

-Need of robust multi criteria decision making techniques are becoming essential in day today life for decision makers to make appropriate decisions. This paper attempts to explore robustness through rank reversal properties of the Data Envelopment Analytic Hierarchy Process (DEAHP) in decision making. DEAHP uses the principles of Data Envelopment Analysis (DEA) to generate the local weights of...

Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evalu...