The Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) developed by Srinivasan and Shocker [V. Srinivasan, A.D. Shocker, Linear programming techniques for multidimensional analysis of preference, Psychometrika 38 (1973) 337–342] is one of the existing well-known methods for multiattribute decision making (MADM) problems. However, the LINMAP only can deal with MADM...

Selection of an appropriate Multiple Attribute Decision Making (MADM) method for providing a solution to given MADM problem is always challenging endeavour. The challenge even greater situations where specific there exist multiple methods with similar degree suitability. Technique Order Preference by Similarity Ideal Solution (TOPSIS) and its dominant variant the Modified TOPSIS are two very ap...

Implementation of an ecosystem approach to natural resource management requires evaluation of a broad array of ecological services in a multidimensional, community-based watershed approach that empowers people to make informed management decisions. Conventional economic approaches that assign values to ecological services (contingent valuation) or that evaluate the efficiency of preserving and ...

The main purpose of this planned manuscript is to establish an algorithm for the solution multiattribute decision-making (MADM) issues, where experts utilizing linguistic variables provide information about attributes in form picture hesitant fuzzy numbers. So, these kinds we develop TOPSIS under environment using variables, which plays a vital role practical applications, notably MADM decision...

این پژوهش با الهام گرفتن از نتایج یک طرح مطالعاتی کاربردی، رویکرد سلسله­‌مراتبی جهت پیگیری فرایند توسعه تأمین‌کنندگان و حمایت تصمیمات موجود در هر مراحل آن ارائه‌ می‌کند. ابتدا، زمینه‌های تأمین نیازمند سپس واجد شرایط هریک زمینه‌ها به کمک تصمیم‌گیری چندشاخصه بهترین-بدترین مشخص می‌گردند. معیارهای شناسایی نیز مرور مطالعات پیشین بهره‌گیری نظرات خبرگان حوزه‌ی خرید استخراج‌شده‌اند. درنهایت، مدل ریاضی ...

The aim of this study is applying the Multistage Adomian Decomposition Method (MADM), based on the Adomian Decomposition Method (ADM) to solve an initial value problem of Bratu-type. The approximat-ed solutions are computed and then the numerical results compared those of ADM, Finally comparisons of the results show that the pro-posed method is very effective and accurate.

Investigating the family tree of a tumor to identify its cellular origins is a daunting task. Liu et al. (2011) now use an elegant lineage tracing technique (MADM) to visualize glioma from its earliest stages. They show that mutations originally induced in neural stem cells lie dormant and only trigger malignant transformation following differentiation into oligodendrocyte precursor cells.

Generation of somatic mosaics in which mutant cell clones are uniquely and completely labeled has yielded considerable insight into many biological processes in Drosophila. In this issue of Cell, describe a novel method called MADM that allows the generation of such mosaics in mice.

The aim of this paper is to extend a portfolio selection method based on MADM techniques for the case of interval data. In order to highlight the procedure of the proposed algorithm an example of product portfolio selection for a leasing company has been analyzed. Several numerical simulations have been performed in order to illustrate our interval data method.

By combining Drosophila genetics and proteomics Gluderer et al. report in this issue of Journal of Biology the isolation of a novel growth-regulatory complex consisting of Bunched and Madm. Future study of this complex will address the precise mechanism of growth control, regulation of complex activity, the interface with other growth pathways and a potential role in human cancer.