5 Dimension Logic

5 dimension logic is the solution to solution determination

FLE developed a unique world view on how to handle solutions to issues and created Fuzzy.One as the concept of 5-dimensional Fuzzy Logic.

Five Dimensional Fuzzy Logic

The five dimensions are: 1-3 Euclidean space – X,Y,Z “Where” 4 Time “When” 5 Influence “How”

All instances start with “what”. What is the title of the instance that is to occur and is an instance that occurs within an infinite set, and by definition is a finite point in an infinite set. “What” is made up of five dimensions, and includes three physical dimensions, these are the euclidean locations. When these three locations combine we call them “where”. The fourth dimension is time, the relational time that the “where” occurred and is called “when”. The fifth dimension is the “influence” of other “what’s” on the target “what”. We determine influence as being a “virtual instance” which can become a new “what” or can be a range of possible “whats” that have yet to occur. In an infinite set there are no virtuality’s, everything has or is or will occur, essentially everything occurs. We call influence “how”. Consider an action, “hammering a nail into the wall”. That action title is the “what”. The “where” is where the wall is located, the “when” is when you want to start the “what”, and the “how” is the confluence of all the other what’s required to perform the main what…and these include:

A person to hammer in the nail
The location designated
The time designated
Tools: Hammer
Materials: Nail
Power Source: Human
Action: Human

Now lets take a closer look at these dimensions:

“When” Will the human reach the location at the designated time and what instances can cause that human from not reaching the location. Also; Will the location still be there at the time designated?
“Where” Is the location stationary? What environmental issues might cause it to be elsewhere? Can the human reach it and how? What logistics is the human using to reach the location and will there be issues in reaching it?
“How” Does the human have a hammer? Is the hammer the correct one? Does the human have nails? What material is the nail made of? Will the material penetrate the wall? What physical and psychological state is the human for performing the “what”? Would an alternative such as drilling and using screws be considered as a better option during the time it takes the human to reach the location at the time designated?

In a finite set, we determine that most of the “whats” have not occurred. Also, there is an infinite set within a finite set (as in the difference between 0-1, 1-2, etc…the range is infinite between two what’s) In this finite set, we have multiple nexus points of influence yet to occur.

The nexus point of influence is where “what” is determined before it has occurred. The very fact that an “influence” exists, automatically changes the way “whats” become and exist, as found in quantum physics when relating to quark actions under view.

This is the realm of Shroedinger, in which the finite set (cat) is in the box, and influence (box) is an infinite set and can be many things, the cats status is also infinite. (note that the infinite set both contains the finite set and is also a part of the finite set, essentially the finite set is a pre-deterministic approach at how we manage (and comprehend) infinite sets.

Fuzzy logic is all about ranges, it considers in infinite space there are infinite what’s, as such, even in a finite space there are infinite how’s that create infinite versions of how what occurs. Whilst we may decide to get bogged down in a convoluted infinite set, it was decided to focus on a limited number of realtime options to select from when determining the fifth dimension of influence.

FLE also appreciated the flaw in the computational decision-making process, where the binary is considered to be the best solution. A straightforward yes or no. Now, in many instances, it can be a great solution process, especially in life-threatening situations. However, in information management and supply chain instances, we recognize that there are many spolution options to choose from, and there might be more time to deal with an instance.

Therefore, we created a risk mitigation system that predetermines all the possible viable problems and provides a validated solution. What we have done, is created a fuzzy P = NP environment for risk mitigation and problem-solving in a real-time situation.

Solutions are given in resource allocation, time and cost-effectivity, and provide the decision-maker with a list of viable solutions within the ranges the system has been programmed to deliver.

Note that a solution to a what that has a problem will consider all the optional “how’s”, “where’s” and “when’s” to provide a new “what”. In most cases, the “where’s” and “when’s” are predetermined and we must focus on the “how’s”.