By Bing-Yuan Cao, Zeng-Liang Liu, Yu-Bin Zhong, Hong-Hai Mi

This e-book comprises result of the 7th foreign convention on Fuzzy details and Engineering (ICFIE'2014) and the first overseas convention of Operations learn and administration (ICORM'2014) on November 7-11, 2014 in ZhuHai, China.

The publication, includes 35 chosen top quality papers, and is split into 5 major parts:

Part I makes a speciality of ``Fuzzy structures and Its Applications", half II on ``Fuzzy arithmetic and Its Applications", half III discusses ``Fuzzy info and Computer", half IV is dedicated to ``Operations learn and administration and Its purposes" and half V comprises a number of different topics.

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9). To solve the standard PGP can use the dual problem of the PGP [12]. The corresponding posynomial GP dual problem is to 22 Z. Kheiri and B. t. λi = λ0 = 1, p i=1 (12) Ji k=1 γikl wik = 0 1 ≤ l ≤ m, wik > 0 0 ≤ i ≤ p, 1 ≤ k ≤ Jp . The quantity J − (m + 1) is termed a degree of difficulty in geometric programming. In the case of a constrained geometric programming problem, J denotes the total number of terms in all the posynomials and m represents the number of primal variables. The posynomial function contains J0 terms in the objective function and Jp terms in the inequality constrains where J = J0 + J1 + · · · + Jp .

10) k=1 The exponents γikl are arbitrary real numbers, the coefficients cik are assumed to be positive constants and the decision variables x = (x1 , . . , xn )T ∈ Rn are required to be strictly positive. In trade-off analysis we vary the constraints and see the effect on the optimal value of the problem. Starting from the geometric programming (1) that is a standard PGP, we form a perturbed PGP [12], by replacing the number one with parameter bi which are all positive constants, on the right-hands side of each constraint.

Distance measures have a wide range of applications in approximate reasoning, decision analysis and medical diagnosis. The distance measures for the above extensions of fuzzy set theory played an important role in the decision-making information aggregation. In 2013, the definition of interval-valued intuitionistic hesitant fuzzy sets (IVIHFS) and some operations was given by Zhang [12], but the corresponding distance measures have not been proposed. In this paper, the distance measures for interval-valued intuitionistic hesitant fuzzy set will be defined and discussed.

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