Ag Decision Maker, September 2007, Vol. 11, no. 11

A Business Newsletter for Agriculture

Ag Decision Maker, September 2008, Vol. 12, no. 11

A Business Newsletter for Agriculture

Ag Decision Maker, September 2009, Vol. 13, no. 11

A Business Newsletter for Agriculture

Ag Decision Maker, September 2010, Vol. 14, no. 11

A Business Newsletter for Agriculture

Ag Decision Maker, September 2012, Vol. 16, no. 11

A Business Newsletter for Agriculture

Ag Decision Maker, September 2013, Vol. 17, no. 11

A Business Newsletter for Agriculture

A fuzzy-based decision model application on strategic management

In this article, the objective is to demonstrate the effects of different decision styles on strategic decisions and likewise, on an organization. The technique that was presented in the study is based on the transformation of linguistic variables to numerical value intervals. In this model, the study benefits from fuzzy logic methodology and fuzzy numbers. This fuzzy methodology approach allows us to examine the relations between decision making styles and strategic management processes when there is uncertainty. The purpose is to provide results to companies that may help them to exercise the most appropriate decision making style for its different strategic management processes. The study is leaving more research topics for further studies that may be applied to other decision making areas within the strategic management process.

A new aggregation method for strategic decision making and its application in assignment theory

A new aggregation method for decision making is presented by using induced aggregation operators and the index of maximum and minimum level. Its main advantage is that it can assess complex reordering processes in the aggregation that represent complex attitudinal characters of the decision maker such as psychological or personal factors. A wide range of properties and particular cases of this new approach are studied. A further generalization by using hybrid averages and immediate weights is also presented. The key issue in this approach against the previous model is that we can use the weighted average and the ordered weighted average in the same formulation. Thus, we are able to consider the subjective attitude and the degree of optimism of the decision maker in the decision process. The paper ends with an application in a decision making problem based on the use of the assignment theory.

Ag Decision Maker, May 2014, Vol. 18, no. 7

A Business Newsletter for Agriculture

Ag Decision Maker, June 2014, Vol. 18, no. 8

A Business Newsletter for Agriculture

Ag Decision Maker, July 2014, Vol. 18, no. 9

A Business Newsletter for Agriculture

Single spin-echo T 2 relaxation times of cerebral metabolites at 14.1 T in the in vivo rat brain.

OBJECT: To determine the single spin-echo T 2 relaxation times of uncoupled and J-coupled metabolites in rat brain in vivo at 14.1 T and to compare these results with those previously obtained at 9.4 T. MATERIALS AND METHODS: Measurements were performed on five rats at 14.1 T using the SPECIAL sequence and TE-specific basis-sets for LCModel analysis. RESULTS AND CONCLUSION: The T 2 of singlets ranged from 98 to 148 ms and T 2 of J-coupled metabolites ranged from 72 ms (glutamate) to 97 ms (myo-inositol). When comparing the T 2s of the metabolites measured at 14.1 T with those previously measured at 9.4 T, a decreasing trend was found (p < 0.0001). We conclude that the modest shortening of T 2 at 14.1 T has a negligible impact on the sensitivity of the (1)H MRS when performed at TE shorter than 10 ms.

Ag Decision Maker, August 2014, Vol. 18, no. 10

A Business Newsletter for Agriculture

Ag Decision Maker, September 2014, Vol. 18, no. 11

A Business Newsletter for Agriculture

You are not alone...making an informed decision about your pregnancy, January 1997

When you are faced with a difficult decision, it’s not unusual to feel confused, frustrated, and perhaps a little frightened because you are not sure what to expect or where to turn for answers. The purpose of this handbook is to assist you in making an informed choice about your pregnancy.