This paper resolved the problem how to estimate the inconsistence of AHP decision matrices in practice by the least angle symmetric matrices and obtained a new bifurcation ideal solution about many people and many objective.

With the increasing competition of the market, the quality of the decision making has become one of crucial factors for enterprises to survive and succeed in competitions.

Moreover, in daily life, the daily decision which people meet every day, though the category not belonging to group of decision , will solicit the suggestions of relatives and friends or the colleague in essence, then make the decision.

The quality and science of the previous decision of the project have determined the quality even success or failure of the project to a great extent, the improvement of project previous decision science and validity depend on project decision method as well as the research and development of behavior decision.

Based on the additive consistency definition of the grey numbers complementary comparison matrix, the error variables are introduced to express the uncertainty of the decision maker.

By decomposing the major cone, which is non-pointed, non-convex and non-closed into a finite union of disjoint strictly supported pointed convex cones, we discuss the continuous perturbations of the decision space.

A new decision criterion is given to select a satisfactory applicant.

Furthermore, that the proposed techniques in this paper allow the decision-maker to assign a different degree of importance can provide a useful way to efficiently help the decision-maker make their decisions.

This paper considers a consumption and investment decision problem with a higher interest rate for borrowing as well as the dividend rate.

The obtained results gener alize relevant conclusions about investment theory, and can better guide investors to make their investment decision.

The present work attempts to obtain evidence for the psychologicalreality of fuzzy sets and to apply fuzzy sets to psychological research. Usually, there are two types of characteristic curves in reacting tosuch psychological conceptualization as the size of egg namely classicalsets and fuzzy sets. If people's reaction uses a threshold-decision criterion,resulting curve is characterized by classical sets. And their S curvedistribution will support the general hypotheses for the psychologicalreality of...

The present work attempts to obtain evidence for the psychologicalreality of fuzzy sets and to apply fuzzy sets to psychological research. Usually, there are two types of characteristic curves in reacting tosuch psychological conceptualization as the size of egg namely classicalsets and fuzzy sets. If people's reaction uses a threshold-decision criterion,resulting curve is characterized by classical sets. And their S curvedistribution will support the general hypotheses for the psychologicalreality of fuzzy sets. Data obtained both from tests of eighty-four Ss, and the same testrepeated eighty-four times on the one subject demonstrated consistently thepsychological reality of fuzzy sets. It is of interest too that children's curve about size of egg is analogicto that of adults in shape, but the former is clearly to be displacing towardsmaller side of the axis, and that is probably relevant to their experiences. In the second experiment the same Ss were shown 19 lines different inlength and were given a list of 9 names in such terms as "very near","near","not far","not very far","neither far nor near","not near","not verynear","far" and"very far". The instructions were to select the term thatrepresented best what one believed it to be. Preliminary trials presentedevidence for certain operators and indicated psychological reality of"Modificator", but no "concentrator". Furthermore it is important that theZadeh's operation about'x is not very discrepant with the psychologicalmeaning which was elucidated by empirical data. The third experiment dealt chiefly with such questions as theapplication of fuzzy entropy to measurement of inference process fordifferent stages of age. It is shown that adopting nonprobabilistic entropyof information may clarify successfully the striking differences amongvarious individual intelligent levels.

In the paper,we introduce general situation of Fuzzy information and Fuzzy decision and their good prospeets of applications.And we ve ry point out impr-otemt position that they are in information revolutio n.

The Warfare System is composed of every interactive entity appeared in the warfare process, and has its specific structure and functions. The composition of warfare can be considered as the following key elements of four, they are Troops & Weapon System; Command & Decisionmaking System; C3I & Electronic warfare(EW) System; and Logistic System.The direct objective of this paper is to seek a quantitative method to represent the impact of C3I & EW System and Command Decision-making System upon the result of combat....

The Warfare System is composed of every interactive entity appeared in the warfare process, and has its specific structure and functions. The composition of warfare can be considered as the following key elements of four, they are Troops & Weapon System; Command & Decisionmaking System; C3I & Electronic warfare(EW) System; and Logistic System.The direct objective of this paper is to seek a quantitative method to represent the impact of C3I & EW System and Command Decision-making System upon the result of combat. It provides a train of thoughts to explore the positions and functions of C3I & EW, Command & Decision-making systems in the whole warfare system quantitatively. That is, to explore how C3I acts as a "force multiplier" by a quantitative method.By a method of system approach and modelling, this paper puts every key element of warfare system into one model to explore the interrelationships between all elements and the result of combat, as well as their impacts on the result of combat. For this reason it is necessary to build model of index of effectiveness weights and measurements. This paper puts the above method into a simplified field combat model, and a determinate attrition theory has been used to describe Combat Submodel, a fuzzy utility decision theory for the description of Command & Decision-making Submodel, and to describe C3I & EW Submodel by Monte-Carlo method. A tentative result of such exploration was achieved by the computer simulation.