close
This essay has been submitted by a student. This is not an example of the work written by professional essay writers.

Optimization Under Decision-dependent Uncertainty

downloadDownload printPrint

Remember! This is just a sample.

You can get your custom paper by one of our expert writers.

Get custom essay

121 writers online

blank-ico
Download PDF

In engineering design or decision making problems, a large number of feasible solutions are available and to choose the solution which is the best one from this set, we need to concentrate on the uncertainty associated with the variables that lead to the optimal solution.

Probabilistic concepts can take care of the randomness that arises due to natural fluctuation or natural variations, but the uncertainty that comes into existence due to qualitative statements, vague statements, vague nature of the objective, and linguistic statements showing the willingness of the decision maker (like the solution is acceptable, low, satisfactory, etc.) cannot be addressed through probabilistic concepts, so we introduce the concept of fuzzy logic in solving the optimization problems. In the crisp definition of optimization problems, we have fresh conditions where arrangements abusing the imperatives or not fulfilling the target work are totally unsuitable, but rather, in fluffy improvement, the idea of degree is presented.

The solution becomes a matter of degree; that is, degree of acceptability or degree of satisfaction is associated with the constraints and the objective functions, and this way we provide latitude to the acceptability of a solution. This level of adequacy connected with the target capacities and limitations can be reflected through fluffy participation capacities. To deal with the situations where several stakeholders vaguely state their preferences as constraints or objective functions using linguistic statements, we convert these statements into fuzzy sets or fuzzy membership functions and then using some technique find out the best “compromise solution.”

In fuzzy optimization, we do not distinguish between the objective functions and the constraints; instead we refer to them as fuzzy goals, represented in the form of fuzzy sets defined by their respective membership functions. So, the latitude or uncertainty present in the decision making is tackled through these membership functions. In addition to the fuzzy goals, we can likewise have fresh limitations displaying the physical conditions or innovative practicality that must be met in a specific arrangement. The entire thought of fluffy streamlining is to consider scope in the imperatives and adaptability in the goal work. Rather than a 0-1 write arrangement, we take into account some infringement of the first imperatives to some degree, set certain breaking point for the goal work, and acknowledge arrangements on the two sides of the cutoff to various degrees.

The target work and the arrangement of limitations are changed over into fluffy sets; their related enrollment capacities are characterized and after that all the participation capacities are consolidated to decide the fluffy choice. Through fluffy advancement, the inclinations of the leader are measured and the vulnerability because of dubiousness, imprecision, et cetera, which is basic in basic leadership issues, is handled utilizing enrollment capacities.

Remember: This is just a sample from a fellow student.

Your time is important. Let us write you an essay from scratch

experts 450+ experts on 30 subjects ready to help you just now

delivery Starting from 3 hours delivery

Find Free Essays

We provide you with original essay samples, perfect formatting and styling

Cite this Essay

To export a reference to this article please select a referencing style below:

Optimization Under Decision-dependent Uncertainty. (2019, Jun 12). GradesFixer. Retrieved June 29, 2022, from https://gradesfixer.com/free-essay-examples/optimization-under-decision-dependent-uncertainty/
“Optimization Under Decision-dependent Uncertainty.” GradesFixer, 12 Jun. 2019, gradesfixer.com/free-essay-examples/optimization-under-decision-dependent-uncertainty/
Optimization Under Decision-dependent Uncertainty. [online]. Available at: <https://gradesfixer.com/free-essay-examples/optimization-under-decision-dependent-uncertainty/> [Accessed 29 Jun. 2022].
Optimization Under Decision-dependent Uncertainty [Internet]. GradesFixer. 2019 Jun 12 [cited 2022 Jun 29]. Available from: https://gradesfixer.com/free-essay-examples/optimization-under-decision-dependent-uncertainty/
copy to clipboard
close

Sorry, copying is not allowed on our website. If you’d like this or any other sample, we’ll happily email it to you.

    By clicking “Send”, you agree to our Terms of service and Privacy statement. We will occasionally send you account related emails.

    close

    Attention! This essay is not unique. You can get a 100% Plagiarism-FREE one in 30 sec

    Receive a 100% plagiarism-free essay on your email just for $4.99
    get unique paper
    *Public papers are open and may contain not unique content
    download public sample
    close

    Sorry, we could not paraphrase this essay. Our professional writers can rewrite it and get you a unique paper.

    close

    Thanks!

    Please check your inbox.

    Want us to write one just for you? We can custom edit this essay into an original, 100% plagiarism free essay.

    thanks-icon Order now
    boy

    Hi there!

    Are you interested in getting a customized paper?

    Check it out!
    Don't use plagiarized sources. Get your custom essay. Get custom paper
    exit-popup-close

    Haven't found the right essay?

    Get an expert to write you the one you need!

    exit-popup-print

    Professional writers and researchers

    exit-popup-quotes

    Sources and citation are provided

    exit-popup-clock

    3 hour delivery

    exit-popup-persone