Mahnoor Waheed

Bio: Mahnoor Waheed is an academic researcher. The author has contributed to research in topics: Nutraceutical & Curcuma. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

A Comprehensive Study of Intuitionistic Fuzzy Soft Matrices and its Applications in Selection of Laptop by using Score Function

Abstract: This paper is being carried out to discuss Intuitionistic Fuzzy Soft Matrices and their operations have been described employing decisive issues by using Score Function of Intuitionistic Fuzzy soft matrices resulting in the efficiency of Intuitionistic Matrices over fuzzy matrices. Finally at the end we have presented a case study for the best selection of laptop.

Pharmacological Effects of Curcuma Longa and Its Bioactive Constitute Curcumin

Abstract: Curcuma longa (Turmeric) belongs to the family Zingeberaceae, commonly used as a spice, pigment and additive also are one of the most important ingredients in the Indian subcontinent. In recent years’ research revealed several important functions of it. Among those being investigated is Turmeric. The aim of this review is to summarize the chemistry, referend, formulations of curcminoids and their biological activities and provides an update mainly on the pharmacological activities of the Turmeric, its extracts and credible medicinal applications of Turmeric, along with their safety evaluation. Its most important active ingredient is curcuminoids. Which are phenolic compounds and volatile oils being also present in turmeric are known for their functional and nutraceutical properties. Various preclinical cell culture and animal studies suggest that curcuminoids have extensive biological activity as antioxidants, neuroprotective, antitumor, anti-inflammatory, anti-acidogenic, radioprotective, and arthritis. Different clinical trials also suggest a potential therapeutic role for curcuminoids in numerous chronic diseases like colon cancer, lung cancer, breast cancer, inflammatory bowel diseases. Nowadays, several drugs have been developed deriving from traditional products, and current drug research is actively investigating the possible therapeutic roles of many Ayurvedic and Traditional Indian medicinal therapies. Health benefits attributed to curcuminoids have resulted in their comprehensive utilization in food and pharmaceutical formulations.

Similarity Measures of Tangent, Cotangent and Cosines in Neutrosophic Environment and their Application in Selection of Academic Programs

Abstract: Similarity measures have wide range of applications in realworld such as patterns, face recognitions, codding etc. In this paper it is intended to determine the tangent, cosine and cotangent similarity measure for single valued Neutrosophic sets and will compare the accuracy of all above similarity measures and applied it in decision making problems such as selection of an academic programs.

Medical diagnosis using neutrosophic soft matrices and their compliments

Abstract: Neutrosophic soft set is a mathematical technique to solve the uncertainties and imprecisions and for decision making problems. In this paper, it is intended to use Neutrosophic soft relations and compliments for medical diagnosis. This paper deals with the symptoms, patients and diseases and then by using compliment algorithm to diagnose the disease.

A Best Technique of Weight Lose using Fuzzy Soft Systems

Abstract: Soft set become very handy tool to solve decision making problems of daily life and Fuzzy Hyper soft set is the generalized foam of soft set. In this current approach, a systematic, logical and consistent use of Fuzzy hyper soft set theory, which include from estimate of ideal weight to time required for this transformation.

Distance and similarity measures of intuitionistic fuzzy hypersoft sets with application: Evaluation of air pollution in cities based on air quality index

Abstract: Decision-making in a vague, undetermined and imprecise environment has been a great issue in real-life problems. Many mathematical theories like fuzzy, intuitionistic and neutrosophic sets have been proposed to handle such kinds of environments. Intuitionistic fuzzy sets (IFSS) were formulated by Atanassov in 1986 and analyze the truth membership, which assists in evidence, along with the fictitious membership. This article describes a composition of the intuitionistic fuzzy set (IFS) with the hypersoft set, which assists in coping with multi-attributive decision-making issues. Similarity measures are the tools to determine the similarity index, which evaluates how similar two objects are. In this study, we develop some distance and similarity measures for IFHSS with the help of aggregate operators. Also, we prove some new results, theorems and axioms to check the validity of the proposed study and discuss a real-life problem. The air quality index (AQI) is one of the major factors of the environment which is affected by air pollution. Air pollution is one of the extensive worldwide problems, and now it is well acknowledged to be deleterious to human health. A decision-maker determines ϸ = region (different geographical areas) and the factors$ \{\mathrm{ᵹ}=human~~activiteis,\mathrm{Ϥ}=humidity~~level,\zeta =air~~pollution\} $ which enhance the AQI by applying decision-making techniques. This analysis can be used to determine whether a geographical area has a good, moderate or hazardous AQI. The suggested technique may also be applied to a large number of the existing hypersoft sets. For a remarkable environment, alleviating techniques must be undertaken.